tensorflow - 磁力管家 - 男人都爱上的磁力连接搜索引擎

【影视】 Learning TensorFlow with JavaScript

收录时间:2018-09-17 文档个数:41 文档大小:170.5 MB 最近下载:2025-05-16 人气:2282 磁力链接

3.2. TensorFlow Basics/10.Operations, or ops.mp4 15.7 MB
1.Introduction/01.Learning TensorFlow.mp4 5.6 MB
1.Introduction/02.Course prerequisites.en.srt 1.5 kB
1.Introduction/02.Course prerequisites.mp4 1.3 MB
2.1. Introduction and Setup/03.Introduction to TensorFlow.en.srt 3.2 kB
2.1. Introduction and Setup/03.Introduction to TensorFlow.mp4 3.3 MB
2.1. Introduction and Setup/04.Differences between versions.en.srt 2.1 kB
2.1. Introduction and Setup/04.Differences between versions.mp4 1.8 MB
2.1. Introduction and Setup/05.Introduction to machine learning.en.srt 3.9 kB
2.1. Introduction and Setup/05.Introduction to machine learning.mp4 4.8 MB
2.1. Introduction and Setup/06.A TensorFlow demo.en.srt 5.8 kB
2.1. Introduction and Setup/06.A TensorFlow demo.mp4 9.7 MB
2.1. Introduction and Setup/07.Initial project creation with TensorFlow.en.srt 6.9 kB
2.1. Introduction and Setup/07.Initial project creation with TensorFlow.mp4 12.9 MB
3.2. TensorFlow Basics/08.Your first tensor.en.srt 4.3 kB
3.2. TensorFlow Basics/08.Your first tensor.mp4 7.0 MB
3.2. TensorFlow Basics/09.Tensors and variables.en.srt 6.8 kB
3.2. TensorFlow Basics/09.Tensors and variables.mp4 12.0 MB
3.2. TensorFlow Basics/10.Operations, or ops.en.srt 9.7 kB
1.Introduction/01.Learning TensorFlow.en.srt 2.1 kB

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【影视】 TensorFlow for Neural Network Solutions [Video]

收录时间:2018-11-10 文档个数:27 文档大小:411.6 MB 最近下载:2025-05-15 人气:2317 磁力链接

00009 Working_with_Skip-Gram_Embeddings.mp4 30.5 MB
00002 Implementing_Operational_Gates.mp4 12.8 MB
00003 Working_with_Gates_and_Activation_Functions.mp4 11.8 MB
00004 Implementing_a_One-Layer_Neural_Network.mp4 11.6 MB
00005 Implementing_Different_Layers.mp4 19.7 MB
00006 Learning_to_Play_Tic-Tac-Toe.mp4 22.2 MB
00007 Working_with_Bag-of-Words.mp4 27.1 MB
00008 Implementing_TF-IDF.mp4 19.2 MB
00001 The_Course_Overview.mp4 9.9 MB
00010 Working_with_CBOW_Embeddings.mp4 21.2 MB
00011 Implementing_a_Simpler_CNN.mp4 15.7 MB
00012 Implementing_an_Advanced_CNN.mp4 20.5 MB
00013 Applying_Stylenet_Neural-Style.mp4 25.8 MB
00014 Implementing_RNN_for_Spam_Prediction.mp4 22.0 MB
00015 Implementing_an_LSTM_Model.mp4 15.3 MB
00016 Stacking_Multiple_LSTM_Layers.mp4 9.8 MB
00017 Training_a_Siamese_Similarity_Measure.mp4 16.6 MB
00018 Implementing_Unit_Tests.mp4 10.2 MB
00019 Using_Multiple_Executors.mp4 8.5 MB
00020 Parallelizing_TensorFlow.mp4 9.7 MB

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【影视】 TensorFlow 2 for Deep Learning Specialization

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[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】 [FreeCourseWorld.Com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

收录时间:2021-03-07 文档个数:247 文档大小:7.5 GB 最近下载:2025-05-15 人气:2645 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
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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【影视】 [GigaCourse.com] Udemy - CNN for Computer Vision with Keras and TensorFlow in R

收录时间:2021-03-08 文档个数:107 文档大小:2.9 GB 最近下载:2025-05-16 人气:2841 磁力链接

11. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 226.7 MB
9. R - Building and training the Model/1. Building, Compiling and Training.mp4 137.1 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
8. R - Dataset for classification problem/1. Data Normalization and Test-Train Split.mp4 117.2 MB
19. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
9. R - Building and training the Model/2. Evaluating and Predicting.mp4 104.0 MB
2. Setting Up R Studio and R crash course/7. Creating Barplots in R.mp4 101.4 MB
16. Project Creating CNN model from scratch/3. Project in R - Data Preprocessing.mp4 92.0 MB
10. The NeuralNets Package/1. ANN with NeuralNets Package.mp4 88.5 MB
2. Setting Up R Studio and R crash course/3. Packages in R.mp4 87.0 MB
14. Creating CNN model in R/3. Creating Model Architecture.mp4 75.1 MB
14. Creating CNN model in R/5. Model Performance.mp4 71.4 MB
13. CNN - Basics/5. Channels.mp4 71.1 MB
14. Creating CNN model in R/2. Data Preprocessing.mp4 70.3 MB
19. Transfer Learning in R/2. Project - Transfer Learning - VGG16 (Performance).mp4 67.3 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
12. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB
4. Neural Networks - Stacking cells to create network/2. Gradient Descent.mp4 63.3 MB
2. Setting Up R Studio and R crash course/6. Inputting data part 3 Importing from CSV or Text files.mp4 63.0 MB
17. Project Data Augmentation for avoiding overfitting/1. Project in R - Data Augmentation.mp4 59.1 MB

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【影视】 [DesireCourse.Net] Udemy - Deep Learning with TensorFlow 2.0 [2020]

收录时间:2021-03-08 文档个数:304 文档大小:2.0 GB 最近下载:2025-02-21 人气:447 磁力链接

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
13. Business case/4. Preprocessing the data.mp4 88.4 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 69.5 MB
13. Business case/9. Setting an early stopping mechanism.mp4 52.2 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
12. The MNIST example/6. Preprocess the data - shuffle and batch the data.mp4 43.6 MB
12. The MNIST example/10. Learning.mp4 42.9 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
3. Setting up the working environment/9. Installing TensorFlow 2.mp4 40.6 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
5. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 36.4 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
5. TensorFlow - An introduction/1. TensorFlow outline.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
3. Setting up the working environment/2. Why Python and why Jupyter.mp4 33.6 MB
13. Business case/8. Learning and interpreting the result.mp4 32.7 MB

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

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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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【影视】 [FreeCourseSite.com] Udemy - Master Deep Learning with TensorFlow in Python

收录时间:2021-03-10 文档个数:297 文档大小:1.5 GB 最近下载:2025-05-14 人气:523 磁力链接

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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【影视】 [FreeCoursesOnline.Me] PacktPub - Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]

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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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【影视】 [FreeCoursesOnline.Me] [Packt] Interactive Chatbots with TensorFlow [FCO]

收录时间:2021-03-10 文档个数:45 文档大小:457.0 MB 最近下载:2025-05-14 人气:1316 磁力链接

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

收录时间:2021-03-11 文档个数:275 文档大小:5.6 GB 最近下载:2025-05-15 人气:211 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.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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【影视】 [Tutorialsplanet.NET] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

收录时间:2021-03-12 文档个数:247 文档大小:7.5 GB 最近下载:2025-05-10 人气:493 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
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
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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
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11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.5 MB
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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
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16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 66.5 MB
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15. Add-on 1 Data Preprocessing/6. EDD in Python.mp4 64.8 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
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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
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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
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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
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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
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[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
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[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
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3.Natural Language Processing and Recurrent Neural Networks/10.Embeddings.mp4 374.1 MB
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A Practical Guide to Deep Learning with TensorFlow 2.0 and K (28).mp4 196.5 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
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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
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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
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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
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[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
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[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
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[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
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[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
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