tensorflow - 磁力管家 - 男人都爱上的磁力连接搜索引擎

【影视】 [DesireCourse.Net] Udemy - Complete Tensorflow 2 and Keras Deep Learning Bootcamp

收录时间:2021-04-17 文档个数:240 文档大小:7.2 GB 最近下载:2025-05-13 人气:1856 磁力链接

1. Course Overview, Installs, and Setup/2. Course Setup and Installation.mp4 159.8 MB
13. Deployment/7. Flask Front End.mp4 156.9 MB
9. Recurrent Neural Networks - RNNs/14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4 156.6 MB
9. Recurrent Neural Networks - RNNs/13. RNN Exercise - Solutions.mp4 155.3 MB
7. Basic Artificial Neural Networks - ANNs/27. Tensorboard.mp4 151.2 MB
7. Basic Artificial Neural Networks - ANNs/20. Keras Project Solutions - Exploratory Data Analysis.mp4 150.6 MB
7. Basic Artificial Neural Networks - ANNs/12. Keras Regression Code Along - Exploratory Data Analysis.mp4 143.7 MB
12. Generative Adversarial Networks/4. Creating a GAN - Part Three - Model Training.mp4 138.0 MB
9. Recurrent Neural Networks - RNNs/11. RNN on a Time Series - Part Two.mp4 137.4 MB
13. Deployment/8. Live Deployment to the Web.mp4 132.7 MB
7. Basic Artificial Neural Networks - ANNs/23. Keras Project Solutions - Categorical Data.mp4 131.1 MB
11. AutoEncoders/3. Autoencoder for Dimensionality Reduction.mp4 123.2 MB
7. Basic Artificial Neural Networks - ANNs/17. Keras Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
1. Course Overview, Installs, and Setup/2.1 FINAL_TF2_FILES.zip.zip 104.1 MB
1. Course Overview, Installs, and Setup/3.1 FINAL_TF2_FILES.zip.zip 104.1 MB
8. Convolutional Neural Networks - CNNs/7. CNN on MNIST - Part Two - Creating and Training the Model.mp4 103.7 MB
7. Basic Artificial Neural Networks - ANNs/21. Keras Project Solutions - Dealing with Missing Data.mp4 101.5 MB
11. AutoEncoders/4. Autoencoder for Images - Part One.mp4 98.7 MB
4. Pandas Crash Course/8. Data Input and Output.mp4 98.0 MB
5. Visualization Crash Course/3. Seaborn Basics.mp4 96.3 MB

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【影视】 [DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

收录时间:2021-04-13 文档个数:262 文档大小:7.6 GB 最近下载:2025-03-31 人气:457 磁力链接

18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
20. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 128.6 MB
20. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
20. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.6 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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【影视】 Tensorflow lite for Flutter Smart Mobile app development

收录时间:2021-04-12 文档个数:159 文档大小:2.2 GB 最近下载:2025-05-16 人气:2816 磁力链接

[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/5. Object Detection in Flutter using Yolo and SSD MobileNet model/3. Flutter Object detection code.mp4 141.4 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/2. Camera and Image Picker Package/1. Flutter Image Picker Library.mp4 132.4 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/9. Fuel Efficiency Predictor Regression Application/3. Fuel Efficiency Prediction Flutter Application.mp4 116.0 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/4. Image Classification in Flutter using MobileNet Model/4. Writing flutter image classification code.mp4 115.2 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/4. Image Classification in Flutter using MobileNet Model/8. Writing Flutter Image classification code.mp4 103.5 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/6. Pose Estimation in Flutter using PoseNet model/3. Flutter Pose estimation code.mp4 100.3 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/7. Image Segmentation in Flutter using Deeplab model/3. Flutter using DeepLab model for image segmentation.mp4 90.8 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/8. Regression in Flutter/5. Adding the model in Flutter Application and testing.mp4 89.3 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/5. Object Detection in Flutter using Yolo and SSD MobileNet model/7. Flutter Live feed object detection application code.mp4 89.1 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/2. Camera and Image Picker Package/4. Flutter writing camera package code.mp4 77.6 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/12. Fruit Recognition in Flutter using Transfer Learning/3. Flutter Training fruit recognition model.mp4 72.1 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/6. Pose Estimation in Flutter using PoseNet model/6. Using PoseNet model for Flutter Live feed pose estimation application.mp4 67.3 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/4. Image Classification in Flutter using MobileNet Model/7. Starter code explanation of Flutter Live feed Image classification application.mp4 63.5 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/11. Dog Breed Recognition model and Application in Flutter/3. Flutter Dog Breed Classification Application.mp4 53.5 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/4. Image Classification in Flutter using MobileNet Model/3. Starter code explanation for Flutter Image classification.mp4 52.8 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/11. Dog Breed Recognition model and Application in Flutter/2. Flutter Training the model.mp4 52.7 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/5. Object Detection in Flutter using Yolo and SSD MobileNet model/2. Importing Application code object detection flutter.mp4 48.4 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/6. Pose Estimation in Flutter using PoseNet model/2. Importing Flutter Pose estimation Application code.mp4 39.2 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/11. Dog Breed Recognition model and Application in Flutter/1. Flutter Getting the dataset for model training.mp4 37.4 MB
[TutsNode.com] - Tensorflow lite for Flutter Smart Mobile app development/5. Object Detection in Flutter using Yolo and SSD MobileNet model/4. Flutter Drawing Rectangles around detected objects.mp4 36.2 MB

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【影视】 [FreeAllCourse.Com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

收录时间:2021-04-10 文档个数:275 文档大小:5.5 GB 最近下载:2025-05-14 人气:101 磁力链接

16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4 92.5 MB

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【影视】 Deep Learning with TensorFlow 2.0

收录时间:2021-04-08 文档个数:231 文档大小:2.0 GB 最近下载:2025-05-16 人气:3953 磁力链接

[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/104 Why is Linear Algebra Useful_.mp4 151.3 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/01 Welcome! Course introduction/001 Meet your instructors and why you should study machine learning_.mp4 110.9 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/085 Preprocessing the data.mp4 88.4 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/082 Exploring the dataset and identifying predictors.mp4 69.5 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/090 Setting an early stopping mechanism.mp4 52.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/096 Linear Algebra and Geometry.mp4 52.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/103 Dot Product of Matrices.mp4 51.8 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/074 Preprocess the data - shuffle and batch the data.mp4 43.6 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/078 Learning.mp4 42.9 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/016 N-parameter gradient descent.mp4 41.4 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/03 Setting up the working environment/023 Installing TensorFlow 2.mp4 40.6 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/010 The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/101 Transpose of a Matrix.mp4 39.9 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/05 TensorFlow - An introduction/035 Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 36.4 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/095 Scalars and Vectors.mp4 35.5 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/094 What is a Matrix_.mp4 35.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/05 TensorFlow - An introduction/031 TensorFlow outline.mp4 35.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/099 Addition and Subtraction of Matrices.mp4 34.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/03 Setting up the working environment/018 Why Python and why Jupyter_.mp4 33.6 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/089 Learning and interpreting the result.mp4 32.7 MB

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【影视】 TensorFlow 2 for Deep Learning Specialization

收录时间:2021-04-06 文档个数:517 文档大小:1.7 GB 最近下载:2024-11-14 人气:195 磁力链接

[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/02_probabilistic-layers-and-bayesian-neural-networks/04_the-densevariational-layer/02_coding-tutorial-the-densevariational-layer.mp4 31.5 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/03_bijectors-and-normalising-flows/01_introduction-to-the-week/02_interview-with-doug-kelly.mp4 30.7 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/customising-models-tensorflow2/03_sequence-modelling/01_introduction-to-the-week-3-sequence-modelling/02_interview-with-doug-kelly.mp4 30.6 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/02_probabilistic-layers-and-bayesian-neural-networks/05_reparameterization-layers/02_coding-tutorial-reparameterization-layers.mp4 29.1 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/02_probabilistic-layers-and-bayesian-neural-networks/03_probabilistic-layers/02_coding-tutorial-probabilistic-layers.mp4 24.4 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/customising-models-tensorflow2/04_model-subclassing-and-custom-training-loops/04_custom-training-loops/02_coding-tutorial-custom-training-loops.mp4 21.8 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/01_tensorflow-distributions/01_introduction-to-the-course/06_interview-with-paige-bailey.mp4 20.7 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/customising-models-tensorflow2/03_sequence-modelling/03_embeddings/03_coding-tutorial-the-embedding-projector.mp4 20.4 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/getting-started-with-tensor-flow2/03_validation-regularisation-and-callbacks/01_introduction-to-the-week-validation-regularisation-and-callbacks/02_interview-with-andrew-ng.mp4 19.7 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/02_probabilistic-layers-and-bayesian-neural-networks/04_the-densevariational-layer/01_the-densevariational-layer.mp4 19.2 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/04_variational-autoencoders/04_maximising-the-elbo/01_maximising-the-elbo.mp4 18.7 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/customising-models-tensorflow2/02_data-pipeline/02_dataset-generators/03_coding-tutorial-dataset-generators.mp4 18.6 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/01_tensorflow-distributions/04_the-independent-distribution/02_coding-tutorial-the-independent-distribution.mp4 18.4 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/customising-models-tensorflow2/02_data-pipeline/05_training-with-datasets/02_coding-tutorial-training-with-datasets.mp4 17.6 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/customising-models-tensorflow2/02_data-pipeline/01_keras-datasets/03_coding-tutorial-keras-datasets.mp4 17.5 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/getting-started-with-tensor-flow2/04_saving-and-loading-models/02_model-saving-criteria/02_coding-tutorial-model-saving-criteria.mp4 17.2 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/getting-started-with-tensor-flow2/01_introduction-to-tensorflow/03_whats-new-in-tensorflow-2/02_interview-with-laurence-moroney.mp4 16.9 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/customising-models-tensorflow2/03_sequence-modelling/05_stacked-and-bidirectional-rnns/02_coding-tutorial-stacked-rnns-and-the-bidirectional-wrapper.mp4 16.5 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/getting-started-with-tensor-flow2/01_introduction-to-tensorflow/06_installing-tensorflow-optional/03_coding-tutorial-running-tensorflow-with-docker.mp4 16.2 MB
[TutsNode.com] - TensorFlow 2 for Deep Learning Specialization/probabilistic-deep-learning-with-tensorflow2/01_tensorflow-distributions/06_trainable-distributions/02_coding-tutorial-trainable-distributions.mp4 16.0 MB

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【影视】 [DesireCourse.Net] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

收录时间:2021-03-30 文档个数:282 文档大小:5.5 GB 最近下载:2025-05-16 人气:829 磁力链接

16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4 92.5 MB

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【影视】 [FreeCoursesOnline.Me] FrontendMasters - A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras

收录时间:2021-03-29 文档个数:33 文档大小:4.4 GB 最近下载:2025-05-14 人气:5801 磁力链接

A Practical Guide to Deep Learning with TensorFlow 2.0 and K (28).mp4 196.5 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (27).mp4 188.6 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (2).mp4 188.1 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (20).mp4 185.1 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (25).mp4 179.8 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (3).mp4 179.5 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (22).mp4 177.9 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (26).mp4 177.8 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (21).mp4 176.5 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (7).mp4 176.3 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (16).mp4 173.7 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (18).mp4 173.7 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (5).mp4 171.0 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (1).mp4 170.6 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (10).mp4 167.2 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (11).mp4 165.6 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (9).mp4 164.8 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (6).mp4 161.7 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (15).mp4 147.8 MB
A Practical Guide to Deep Learning with TensorFlow 2.0 and K (17).mp4 140.9 MB

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【影视】 Tensorflow 2.0 Um Guia Completo sobre o novo TensorFlow

收录时间:2021-03-26 文档个数:128 文档大小:4.5 GB 最近下载:2025-05-15 人气:1624 磁力链接

16. Anexo III - Redes Neurais Recorrentes - teoria/4. Intuição prática.mp4 166.4 MB
16. Anexo III - Redes Neurais Recorrentes - teoria/3. Long short term memory - LSTM.mp4 104.1 MB
16. Anexo III - Redes Neurais Recorrentes - teoria/1. O que são Redes Neurais Recorrentes.mp4 103.1 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/2. A Equação de Bellman.mp4 95.1 MB
14. Anexo I - Redes Neurais Artificiais - teoria/9. Funções de ativação II.mp4 81.5 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/2. Introdução a redes neurais convolucionais II.mp4 80.5 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/1. Introdução a redes neurais convolucionais I.mp4 75.9 MB
7. Aprendizagem por Reforço Profunda para Negociação no Mercado de Ações/12. Treinamento II.mp4 75.6 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/11. Replay de Experiência.mp4 75.2 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/12. Políticas de Seleções de Ações.mp4 74.6 MB
2. Básico do TensorFlow/1. Do TensorFlow 1.x para o TensorFlow 2.0 - Constantes, variáveis e tensores.mp4 72.9 MB
1. Introdução/1. Bem-vindo(a) ao curso!.mp4 72.3 MB
16. Anexo III - Redes Neurais Recorrentes - teoria/2. Problema do gradiente desaparecendo (vanish gradient problem).mp4 71.0 MB
10. API com Flask e TensorFlow 2.0/1. Configuração do Projeto.mp4 70.3 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/4. Markov Decision Process - MDP.mp4 70.3 MB
5. Redes Neurais Recorrentes/1. Configuração do Projeto e Pré-processamento.mp4 66.1 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/6. Etapa 3 - flattening.mp4 65.8 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/7. Etapa 4 - rede neural densa.mp4 65.3 MB
9. Pré-processamento de Dados com TFT (TensorFlow Transform)/5. Pipeline de Pré-processamento.mp4 63.7 MB
7. Aprendizagem por Reforço Profunda para Negociação no Mercado de Ações/6. IA Trader 5.mp4 63.4 MB

猜你喜欢： novo Completo Um sobre TensorFlow Tensorflow 2.0 Guia

【影视】 [FreeCoursesOnline.Me] PacktPub -Learn Artificial Intelligence with TensorFlow [Video]

收录时间:2021-03-24 文档个数:33 文档大小:2.0 GB 最近下载:2025-05-14 人气:3618 磁力链接

3.Natural Language Processing and Recurrent Neural Networks/10.Embeddings.mp4 374.1 MB
6.Miscellaneous Topics and Course Summary/25.TensorFlow Eager.mp4 327.1 MB
1.TensorFlow Setup and Fundamental Concepts/03.TensorFlow Basics Part 1 - Tensors and Variables.mp4 118.8 MB
6.Miscellaneous Topics and Course Summary/23.TPUs.mp4 109.9 MB
2.Computer Vision/06.Convolutional Neural Networks.mp4 106.2 MB
1.TensorFlow Setup and Fundamental Concepts/04.TensorFlow Basics Part 2 - Graphs and Sessions.mp4 105.6 MB
1.TensorFlow Setup and Fundamental Concepts/05.TensorFlow Basics Part 3 - Training, Saving, and Restoring.mp4 103.9 MB
5.TensorFlow in Production/19.Requirements for ML at Scale.mp4 85.3 MB
5.TensorFlow in Production/20.TensorFlow with C++.mp4 78.2 MB
6.Miscellaneous Topics and Course Summary/26.Course Summary and Next Steps.mp4 71.3 MB
4.Tips and Tricks/15.TensorBoard.mp4 64.3 MB
1.TensorFlow Setup and Fundamental Concepts/02.Machine Learning Basics.mp4 63.9 MB
1.TensorFlow Setup and Fundamental Concepts/01.The Course Overview.mp4 53.0 MB
4.Tips and Tricks/17.Training Tips.mp4 40.8 MB
5.TensorFlow in Production/21.TensorFlow Serving.mp4 40.8 MB
4.Tips and Tricks/16.Working with Estimators.mp4 40.8 MB
2.Computer Vision/09.Training a CNN on CIFAR-10 – Part 2.mp4 37.9 MB
4.Tips and Tricks/18.Debugging Strategies.mp4 33.0 MB
2.Computer Vision/08.Training a CNN on CIFAR-10 – Part 1.mp4 25.3 MB
3.Natural Language Processing and Recurrent Neural Networks/13.Models for Text Classification – Part 1.mp4 24.4 MB

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[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/07 Tensorboard_ Visualization tool for TensorFlow/027 Confusion matrix and visualizing it with Tensorboard.mp4 114.8 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/024 Building and training the CNN.mp4 91.8 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/042 Trousers and Jeans - All.mp4 89.7 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/07 Tensorboard_ Visualization tool for TensorFlow/026 Tensorboard on the MNIST example.mp4 87.7 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/07 Tensorboard_ Visualization tool for TensorFlow/028 Using Tensorboard to tune hyperparameters.mp4 86.9 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/045 L2 regularization and Dropout.mp4 85.4 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/10 Understanding CNNs/047 Unexpected failures.mp4 76.4 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/11 Popular CNN architectures/051 GoogleNet - computational efficiency.mp4 74.8 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/022 A simple CNN architecture.mp4 73.0 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/03 CNN Introduction/009 Feature maps.mp4 70.9 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/023 Preprocessing the data.mp4 65.1 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/03 CNN Introduction/008 CNNs motivation.mp4 64.3 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/039 Primary classification task - Part 2.mp4 63.5 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/03 CNN Introduction/010 Pooling and Stride.mp4 60.7 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/01 Introduction to the course/001 What does the course cover_.mp4 60.7 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/041 Trousers and Jeans - discussion of approaches.mp4 56.1 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/02 Kernels/004 How do image transformations work_.mp4 55.3 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/11 Popular CNN architectures/052 ResNet - revolution of depth.mp4 52.2 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/035 The objective and the images.mp4 49.4 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/025 Testing the trained CNN.mp4 47.3 MB

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4. Image Processing & Model Training/7. Training a Model.mp4 114.7 MB
5. Convolution & Pooling/3. Diagramming Convolutions & Pooling.mp4 112.7 MB
5. Convolution & Pooling/6. Neural Network Attention.mp4 112.4 MB
6. Text Analytics/2. Natural Language Processing.mp4 97.5 MB
3. Linear Regression/8. Learning Rate & Gradients.mp4 91.5 MB
6. Text Analytics/5. Reinforcement Learning.mp4 85.5 MB
6. Text Analytics/4. Long Short Term Memory.mp4 84.9 MB
4. Image Processing & Model Training/8. Comparing Different Models.mp4 80.8 MB
3. Linear Regression/3. Tensorflow Architecture.mp4 79.7 MB
6. Text Analytics/1. Detecting Good & Bad Reviews.mp4 78.8 MB
5. Convolution & Pooling/4. Visualizing Convolutional Operations.mp4 78.8 MB
5. Convolution & Pooling/5. Predicting, Saving & Loading Models.mp4 71.3 MB
4. Image Processing & Model Training/6. Defining the Solver & Loss Function.mp4 70.9 MB
6. Text Analytics/3. Sentiment Analysis.mp4 69.4 MB
3. Linear Regression/9. Learning Rate vs Steps.mp4 67.8 MB
4. Image Processing & Model Training/9. Principal Component Analysis.mp4 64.6 MB
2. Machine Learning, Neural Networks & Deep Learning/1. Machine Learning Demo.mp4 61.2 MB
4. Image Processing & Model Training/1. Image Processing with Keras.mp4 60.0 MB
3. Linear Regression/5. Plotting Data with Noise.mp4 59.7 MB
4. Image Processing & Model Training/5. Understanding the Model.mp4 57.2 MB

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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.5 MB
13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
15. Add-on 1 Data Preprocessing/12. Bi-variate analysis and Variable transformation.mp4 105.3 MB
16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 96.6 MB
12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 96.6 MB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.7 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
15. Add-on 1 Data Preprocessing/17. Correlation Analysis.mp4 75.1 MB
15. Add-on 1 Data Preprocessing/8. Outlier Treatment in Python.mp4 73.6 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 73.1 MB
15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 72.7 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 68.3 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 67.6 MB
16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 66.5 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
15. Add-on 1 Data Preprocessing/6. EDD in Python.mp4 64.8 MB
14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB

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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB

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16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.srt 147.0 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB

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6 - Contextual Generative Chatbots/37 - Building a Contextually Aware System.mp4 39.7 MB
1 - NLP Practices for Chatbot Development/02 - Tokenization.mp4 37.4 MB
5 - Making Your Chatbot Attentive/33 - Training and Evaluating the Model.mp4 34.8 MB
3 - Integrating Neural Networks/15 - Understanding Overfitting and Regularization.mp4 29.7 MB
6 - Contextual Generative Chatbots/38 - Conclusion.mp4 29.1 MB
3 - Integrating Neural Networks/18 - Applying LSTM to Named Entity Recognition.mp4 26.7 MB
4 - Generative Chatbots - Chatbots of the future/24 - Building the Encoder.mp4 23.9 MB
3 - Integrating Neural Networks/19 - Text Classification Using LSTM.mp4 22.2 MB
1 - NLP Practices for Chatbot Development/01 - The Course Overview.mp4 19.7 MB
3 - Integrating Neural Networks/13 - Implementing Linear Models.mp4 16.6 MB
4 - Generative Chatbots - Chatbots of the future/23 - Preprocessing the Data.mp4 15.5 MB
4 - Generative Chatbots - Chatbots of the future/22 - Preparing Data for the Model.mp4 14.7 MB
4 - Generative Chatbots - Chatbots of the future/26 - Training and Evaluating the Model.mp4 12.7 MB
3 - Integrating Neural Networks/16 - Training Word2vec Models.mp4 12.1 MB
1 - NLP Practices for Chatbot Development/05 - Vectorization.mp4 9.8 MB
5 - Making Your Chatbot Attentive/32 - Adding Attention to Our seq2seq Model.mp4 9.6 MB
4 - Generative Chatbots - Chatbots of the future/27 - Deploying the Chatbot.mp4 9.0 MB
1 - NLP Practices for Chatbot Development/03 - Stemming.mp4 8.6 MB
1 - NLP Practices for Chatbot Development/06 - Word Embedding.mp4 7.3 MB
2 - Building a Retrieval-Based Chatbot/12 - Building Your First Functional Chatbot.mp4 6.9 MB

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01.Welcome! Course introduction/0101.Meet your instructors and why you should study machine learning.mp4 88.9 MB
06.Going deeper Introduction to deep neural networks/0603.Understanding deep nets in depth.mp4 61.0 MB
02.Introduction to neural networks/0212.N-parameter gradient descent.mp4 60.4 MB
02.Introduction to neural networks/0211.One parameter gradient descent.mp4 59.1 MB
06.Going deeper Introduction to deep neural networks/0607.Backpropagation.mp4 55.3 MB
03.Setting up the working environment/0306.Installing TensorFlow 2.mp4 53.7 MB
02.Introduction to neural networks/0201.Introduction to neural networks.mp4 48.0 MB
12.Business case/1204.Preprocessing the data.mp4 46.7 MB
02.Introduction to neural networks/0206.The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
05.TensorFlow - An introduction/0501.TensorFlow outline.mp4 44.0 MB
02.Introduction to neural networks/0203.Types of machine learning.mp4 42.8 MB
10.Preprocessing/1003.Standardization.mp4 42.3 MB
13.Conclusion/1305.An overview of non-NN approaches.mp4 42.1 MB
01.Welcome! Course introduction/0102.What does the course cover.mp4 41.0 MB
13.Conclusion/1301.See how much you have learned.mp4 40.8 MB
06.Going deeper Introduction to deep neural networks/0604.Why do we need non-linearities.mp4 39.8 MB
06.Going deeper Introduction to deep neural networks/0605.Activation functions.mp4 39.8 MB
05.TensorFlow - An introduction/0502.TensorFlow 2 intro.mp4 39.7 MB
07.Overfitting/0703.Training and validation.mp4 39.3 MB
09.Gradient descent and learning rates/0904.Learning rate schedules.mp4 38.9 MB

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14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
13. Business case/4. Preprocessing the data.mp4 36.0 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
13. Business case/6. Create a class for batching.mp4 29.0 MB
14. Appendix Linear Algebra Fundamentals/4. Scalars, Vectors and Matrices in Python.mp4 28.0 MB
14. Appendix Linear Algebra Fundamentals/9. Dot Product of Vectors.mp4 25.2 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 24.4 MB
14. Appendix Linear Algebra Fundamentals/5. Tensors.mp4 23.6 MB
12. The MNIST example/9. Discuss the results and test.mp4 23.0 MB
4. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.mp4 21.8 MB
13. Business case/7. Outlining the model.mp4 20.4 MB
12. The MNIST example/4. Outlining the model.mp4 19.3 MB

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16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.srt 147.0 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB

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