tensorflow - 磁力管家 - 男人都爱上的磁力连接搜索引擎

【影视】 Deep learning for image segmentation using Tensorflow 2

收录时间:2022-04-13 文档个数:155 文档大小:2.5 GB 最近下载:2025-05-13 人气:3114 磁力链接

[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/016 Running the exported model on new examples locally.mp4 238.4 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/05 Custom data preparation/005 Annotating a custom dataset.mp4 229.1 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/008 Windows installation _ Installing tensorflow with GPU support.mp4 215.3 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/001 What is cloud computing and what is AI Platform_ (optional).mp4 121.6 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/007 Windows installation _ Installing tensorflow 2 object detection API.mp4 112.6 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/003 Linux installation _ How to install tensorflow 2 with GPU support (part 2).mp4 107.7 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/012 Analyzing the results after the training of Mask RCNN model is finished.mp4 91.6 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/06 Train Mask RCNN model on your local machine/005 Modifying the configuration file - Part 1.mp4 88.9 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/013 Analyzing the results of the second training.mp4 88.0 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/002 Linux installation _ How to install tensorflow 2 with GPU support (part 1).mp4 87.8 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/015 Downloading the trained model and exporting the SavedModel from checkpoints.mp4 77.5 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/06 Train Mask RCNN model on your local machine/007 Running the training locally.mp4 61.8 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/05 Custom data preparation/007 Transforming our dataset to tfrecord format.mp4 58.7 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/05 Custom data preparation/006 From multiple annotation files to one annotation file.mp4 58.3 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/04 Software setup/004 Linux installation _ How to install tensorflow 2 object detection API.mp4 57.1 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/006 Preparing our config file for training on google cloud.mp4 53.2 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/003 Downloading Google Cloud SDK.mp4 53.1 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/011 Running the evaluation for Mask RCNN model during the training.mp4 48.7 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/05 Custom data preparation/003 Linux - Exploring the dataset - Part 2.mp4 46.4 MB
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2/07 Train and evaluate Mask RCNN model using google AI platform/005 Creating a google bucket and uploading data to it.mp4 42.9 MB

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【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】 [ TutGee.com ] Linkedin - TensorFlow - Working with NLP

收录时间:2022-02-20 文档个数:38 文档大小:376.1 MB 最近下载:2025-05-12 人气:996 磁力链接

~Get Your Files Here !/4. Transformers and BERT/017. Fine-tuning BERT.mp4 72.3 MB
~Get Your Files Here !/4. Transformers and BERT/013. BERT model and tokenization.mp4 32.4 MB
~Get Your Files Here !/3. BERT and Transfer Learning/009. Bias in BERT and GPT.mp4 30.5 MB
~Get Your Files Here !/2. NLP and Transformers/006. Transformers, their use, and history.mp4 28.7 MB
~Get Your Files Here !/3. BERT and Transfer Learning/011. Transfer learning.mp4 25.7 MB
~Get Your Files Here !/2. NLP and Transformers/004. What is NLP.mp4 24.9 MB
~Get Your Files Here !/1. Introduction/003. What is TensorFlow.mp4 22.6 MB
~Get Your Files Here !/4. Transformers and BERT/014. Tokenizers.mp4 20.6 MB
~Get Your Files Here !/2. NLP and Transformers/005. Transformers for NLP.mp4 19.4 MB
~Get Your Files Here !/3. BERT and Transfer Learning/010. How was BERT trained.mp4 18.9 MB
~Get Your Files Here !/4. Transformers and BERT/015. Self-attention.mp4 17.9 MB
~Get Your Files Here !/2. NLP and Transformers/008. Solution NLP model size.mp4 14.2 MB
~Get Your Files Here !/4. Transformers and BERT/012. Transformer Architecture overview.mp4 13.7 MB
~Get Your Files Here !/5. Conclusion/018. Next steps.mp4 7.7 MB
~Get Your Files Here !/4. Transformers and BERT/016. Multi-head attention and feedforward network.mp4 7.7 MB
~Get Your Files Here !/1. Introduction/001. Why TensorFlow.mp4 7.2 MB
~Get Your Files Here !/2. NLP and Transformers/007. Challenge NLP model size.mp4 7.0 MB
~Get Your Files Here !/1. Introduction/002. What you should know.mp4 4.6 MB
~Get Your Files Here !/4. Transformers and BERT/017. Fine-tuning BERT.en.srt 13.6 kB
~Get Your Files Here !/4. Transformers and BERT/013. BERT model and tokenization.en.srt 6.5 kB

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【影视】 [GigaCourse.com] Udemy - Deep Learning with Keras and Tensorflow in Python and R

收录时间:2021-04-29 文档个数:151 文档大小:4.3 GB 最近下载:2025-05-12 人气:1190 磁力链接

15. R - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 226.6 MB
12. Python - Regression problems and Functional API/1. Building Neural Network for Regression Problem.mp4 163.4 MB
14. Python - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 159.0 MB
13. R - Regression Problem and Functional API/1. Building Regression Model with Functional AP.mp4 137.5 MB
11. R - Building and training the Model/1. Building,Compiling and Training.mp4 137.1 MB
5. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
9. Dataset for classification problem/3. R - Dataset, Normalization and Test-Train set.mp4 117.2 MB
18. Add on Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 105.4 MB
11. R - Building and training the Model/2. Evaluating and Predicting.mp4 104.1 MB
18. Add on Data Preprocessing/8. EDD in R.mp4 101.7 MB
3. Setting up R Studio and R Crash Course/7. Creating Barplots in R.mp4 101.5 MB
12. Python - Regression problems and Functional API/2. Using Functional API for complex architectures.mp4 96.6 MB
4. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
3. Setting up R Studio and R Crash Course/3. Packages in R.mp4 87.0 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.6 MB
13. R - Regression Problem and Functional API/2. Complex Architectures using Functional API.mp4 83.4 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
19. Test Train Split/4. Test train split in R.mp4 79.3 MB
18. Add on Data Preprocessing/10. Outlier Treatment in Python.mp4 73.7 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

收录时间:2022-03-14 文档个数:275 文档大小:7.3 GB 最近下载:2025-05-11 人气:1102 磁力链接

18/2. Anaconda Environment Setup.mp4 189.7 MB
18/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB

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【影视】 [Tutorialsplanet.NET] Udemy - TensorFlow 2.0 Practical Advanced

收录时间:2022-04-07 文档个数:175 文档大小:5.9 GB 最近下载:2025-05-11 人气:1528 磁力链接

01 - INTRODUCTION AND COURSE OUTLINE/007 Whats New in TensorFlow 2.0.mp4 229.6 MB
05 - DEEP DREAM/008 Deep Dream Coding P5.mp4 221.2 MB
05 - DEEP DREAM/001 What is Deep Dream.mp4 203.4 MB
05 - DEEP DREAM/002 How does DeepDream Algo work.mp4 162.6 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/001 ANN and CNN - Part 1.mp4 149.3 MB
04 - AUTOENCODERS/013 Autoencoders Project 2 - Coding P2.mp4 147.5 MB
04 - AUTOENCODERS/001 Autoencoders intuition.mp4 124.4 MB
04 - AUTOENCODERS/20087012-traffic-signs-data.zip 121.4 MB
03 - TRANSFER LEARNING (TF HUB)/006 Transfer Learning Project 1 - Coding P2.mp4 114.9 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/010 Project 1 - Solution Part 2.mp4 106.3 MB
06 - GANs/010 GANS Project 1 P5.mp4 102.1 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/003 TF Serving Coding Part 3.mp4 102.1 MB
05 - DEEP DREAM/007 Deep Dream Coding P4.mp4 101.9 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/007 ANN and CNN - Part 7.mp4 100.3 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/006 Vanishing Gradient Problem.mp4 100.3 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/007 Long Short Term Memory LSTM.mp4 96.7 MB
01 - INTRODUCTION AND COURSE OUTLINE/004 ML, AI and DL.mp4 96.2 MB
06 - GANs/001 GANS intuition.mp4 95.4 MB
03 - TRANSFER LEARNING (TF HUB)/005 Transfer Learning Project 1 - Coding P1.mp4 93.8 MB
03 - TRANSFER LEARNING (TF HUB)/007 Transfer Learning Project 1 - Coding P3.mp4 92.6 MB

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【影视】 Lynda - Learning TensorFlow with JavaScript [AhLaN]

收录时间:2021-05-31 文档个数:94 文档大小:171.5 MB 最近下载:2025-05-11 人气:1319 磁力链接

3 - 2. TensorFlow Basics/10 - Operations, or ops.mp4 15.7 MB
3 - 2. TensorFlow Basics/11 - Model introduction.mp4 14.2 MB
2 - 1. Introduction and Setup/07 - Initial project creation with TensorFlow.mp4 12.9 MB
3 - 2. TensorFlow Basics/12 - Layers introduction.mp4 12.6 MB
4 - 3. Exploration of a Full Project/14 - Exploration of the dataset.mp4 12.1 MB
3 - 2. TensorFlow Basics/09 - Tensors and variables.mp4 12.0 MB
4 - 3. Exploration of a Full Project/16 - Exploration of training the model.mp4 11.8 MB
4 - 3. Exploration of a Full Project/17 - See the live example.mp4 11.6 MB
5 - 4. Advanced Subjects/18 - Use Python-based models in JS.mp4 10.8 MB
2 - 1. Introduction and Setup/06 - A TensorFlow demo.mp4 9.7 MB
5 - 4. Advanced Subjects/19 - Convert SavedModel to web.mp4 7.8 MB
4 - 3. Exploration of a Full Project/15 - Exploration of the models and layers.mp4 7.8 MB
3 - 2. TensorFlow Basics/08 - Your first tensor.mp4 7.0 MB
1 - Introduction/01 - Learning TensorFlow.mp4 5.6 MB
4 - 3. Exploration of a Full Project/13 - Import example project.mp4 5.3 MB
2 - 1. Introduction and Setup/05 - Introduction to machine learning.mp4 4.8 MB
2 - 1. Introduction and Setup/03 - Introduction to TensorFlow.mp4 3.5 MB
2 - 1. Introduction and Setup/04 - Differences between versions.mp4 2.0 MB
6 - Conclusion/20 - Next steps.mp4 1.9 MB
1 - Introduction/02 - Course prerequisites.mp4 1.3 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
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】 [DesireCourse.Net] Udemy - Neural Networks (ANN) using Keras and TensorFlow in Python

收录时间:2021-05-07 文档个数:144 文档大小:3.2 GB 最近下载:2025-05-10 人气:980 磁力链接

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/13. 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/18. Correlation Analysis.mp4 75.1 MB
15. Add-on 1 Data Preprocessing/9. 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/7. EDD in Python.mp4 64.8 MB
14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB

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【影视】 [FreeCourseSite.com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

收录时间:2024-01-15 文档个数:272 文档大小:7.3 GB 最近下载:2025-05-10 人气:1434 磁力链接

18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB

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【影视】 [DesireCourse.Net] Udemy - Master Deep Learning with TensorFlow in Python

收录时间:2022-02-07 文档个数:296 文档大小:1.5 GB 最近下载:2025-05-10 人气:656 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】 [GigaCourse.Com] Udemy - TensorFlow 2.0 Practical Advanced

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01 - INTRODUCTION AND COURSE OUTLINE/007 Whats New in TensorFlow 2.0.mp4 229.6 MB
05 - DEEP DREAM/008 Deep Dream Coding P5.mp4 221.2 MB
05 - DEEP DREAM/001 What is Deep Dream.mp4 203.4 MB
05 - DEEP DREAM/002 How does DeepDream Algo work.mp4 162.6 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/001 ANN and CNN - Part 1.mp4 149.3 MB
04 - AUTOENCODERS/013 Autoencoders Project 2 - Coding P2.mp4 147.5 MB
04 - AUTOENCODERS/001 Autoencoders intuition.mp4 124.4 MB
04 - AUTOENCODERS/20087012-traffic-signs-data.zip 121.4 MB
03 - TRANSFER LEARNING (TF HUB)/006 Transfer Learning Project 1 - Coding P2.mp4 114.9 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/010 Project 1 - Solution Part 2.mp4 106.3 MB
06 - GANs/010 GANS Project 1 P5.mp4 102.1 MB
08 - TENSORFLOW SERVING AND TENSORBOARD/003 TF Serving Coding Part 3.mp4 102.1 MB
05 - DEEP DREAM/007 Deep Dream Coding P4.mp4 101.9 MB
02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/007 ANN and CNN - Part 7.mp4 100.3 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/006 Vanishing Gradient Problem.mp4 100.3 MB
07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/007 Long Short Term Memory LSTM.mp4 96.7 MB
01 - INTRODUCTION AND COURSE OUTLINE/004 ML, AI and DL.mp4 96.2 MB
06 - GANs/001 GANS intuition.mp4 95.4 MB
03 - TRANSFER LEARNING (TF HUB)/005 Transfer Learning Project 1 - Coding P1.mp4 93.8 MB
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18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 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
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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[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/18 - Deploying the Image classification model/84 - Building API with Fastapi.mp4 707.7 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/8 - Data Augmentation/44 - Albumentations with TensorFlow 2 and PyTorch for Data augmentation.mp4 647.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/11 - MLOps with Weights and Biases/52 - Experiment Tracking.mp4 492.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/8 - Data Augmentation/41 - Data augmentation with TensorFlow using tfimage and Keras Layers.mp4 444.6 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/17 - Transformers in Vision/72 - Understanding VITs.mp4 442.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/2 - Tensors and variables/4 - Initialization and Casting.mp4 426.3 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/17 - Transformers in Vision/73 - Building VITs from scratch.mp4 418.0 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/12 - Human Emotions Detection/57 - Modeling and Training.mp4 390.0 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/2 - Tensors and variables/7 - Linear Algebra Operations.mp4 389.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/13 - Modern Convolutional Neural Networks/62 - resnet.mp4 368.9 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/4 - Building convnets with tensorflow/25 - How and Why Convolutional Neural Networks Work.mp4 365.6 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/8 - Data Augmentation/43 - Cutmix Data augmentation with TensorFlow 2 and intergration in tfdata.mp4 360.9 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/11 - MLOps with Weights and Biases/54 - Dataset Versioning with Weights and Biases and TensorFlow 2.mp4 345.5 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/2 - Tensors and variables/8 - Common Methods.mp4 313.6 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/12 - Human Emotions Detection/59 - Tensorflow records.mp4 307.9 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/10 - Tensorboard integration with TensorFlow 2/48 - Log data.mp4 301.2 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/3 - PREREQUISCITE Building neural networks with Tensorflow/14 - Data Preparation.mp4 289.8 MB
[TutsNode.net] - Deep Learning Image Classification with Tensorflow in 2023/18 - Deploying the Image classification model/79 - Understanding quantization.mp4 281.2 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
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
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18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
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tensorflowTUT源码/tensorflow8_feeds.py 357 Bytes
tensorflowTUT源码/tf5_example2/for_you_to_practice.py 419 Bytes
tensorflowTUT源码/tensorflow7_variable.py 513 Bytes
tensorflowTUT源码/tensorflow6_session.py 515 Bytes
tensorflowTUT源码/tensorflow10_def_add_layer.py 547 Bytes
tensorflowTUT源码/tf5_example2/full_code.py 847 Bytes
tensorflowTUT源码/tf11_build_network/for_you_to_practice.py 892 Bytes
tensorflowTUT源码/tf16_classification/for_you_to_practice.py 894 Bytes
tensorflowTUT源码/tf19_saver.py 1.1 kB
tensorflowTUT源码/tf14_tensorboard/for_you_to_practice.py 1.2 kB
tensorflowTUT源码/tf11_build_network/full_code.py 1.6 kB
tensorflowTUT源码/tf12_plot_result/for_you_to_practice.py 1.6 kB
tensorflowTUT源码/tensorflow11_build_network.py 1.6 kB
tensorflowTUT源码/tf14_tensorboard/full_code.py 1.7 kB
tensorflowTUT源码/tf18_CNN2/for_you_to_practice.py 1.7 kB
tensorflowTUT源码/tf17_dropout/for_you_to_practice.py 1.8 kB
tensorflowTUT源码/tf15_tensorboard/for_you_to_practice.py 1.8 kB
tensorflowTUT源码/tf16_classification/full_code.py 2.0 kB
tensorflowTUT源码/tf12_plot_result/full_code.py 2.0 kB
tensorflowTUT源码/tensorflow12_plut_result.py 2.0 kB

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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
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14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
01. 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 96.5 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 82.0 MB
13. Business case/9. Setting an early stopping mechanism.mp4 56.0 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 48.2 MB
12. The MNIST example/10. Learning.mp4 46.6 MB
03. Setting up the working environment/9. Installing TensorFlow 2.mp4 45.0 MB
03. Setting up the working environment/2. Why Python and why Jupyter.mp4 43.0 MB
02. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
05. TensorFlow - An introduction/1. TensorFlow outline.mp4 40.2 MB
02. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
05. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
13. Business case/3. Balancing the dataset.mp4 36.9 MB
03. Setting up the working environment/4. Installing Anaconda.mp4 36.6 MB
13. Business case/8. Learning and interpreting the result.mp4 36.3 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB

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