- 【影视】 [ DevCourseWeb.com ] Udemy - Deep Learning with Tensorflow and Pytorch (Tutorial Ongoing)
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~Get Your Files Here !/3. MNIST Example with Tensorflow/10. Pytorch MNIST Code Walk Through.mp4 160.1 MB
~Get Your Files Here !/1. Introduction/7. Convolutional Neural Network.mp4 152.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/2. MNIST Tensorflow- example code walk through.mp4 125.4 MB
~Get Your Files Here !/1. Introduction/4. Machine Learning quick overview.mp4 105.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/3. MNIST Tensorflow- running in machine.mp4 100.5 MB
~Get Your Files Here !/1. Introduction/8. Deep Learning Fundamentals.mp4 88.3 MB
~Get Your Files Here !/1. Introduction/6. BackPropagation.mp4 87.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/3. Install Tensorflow - Hands-on.mp4 82.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/6. Loss Functions Classification-Cross Entropy-Sigmoid and Softmax.mp4 64.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/8. Optimizers-GD, SGD, Adagrad, Adam.mp4 60.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/9. Callback Functions-Checkpoint, Learning Rate Scheduler.mp4 60.4 MB
~Get Your Files Here !/1. Introduction/5. Artifical Neural Network or ANN.mp4 48.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/4. Data preparation, Datagenerator and Model.mp4 39.8 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/5. Loss Functions Regression- MAE, MSE.mp4 27.6 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/1. MNIST Introduction.mp4 26.5 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/4. Install Pytorch - Hands-on- Part 1.mp4 23.4 MB
~Get Your Files Here !/1. Introduction/3. Difference between Artificial Intelligence, Machine Learning and Deep Learning.mp4 21.7 MB
~Get Your Files Here !/1. Introduction/2. Quick Demo of whisper+gradio speech to text conversion!.mp4 17.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/5. Install Pytorch - Hands-on- Part 2.mp4 14.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/2. Install Tensorflow and Pytorch- Steps.mp4 11.9 MB
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- 【影视】 [FreeTutorials.Us] Udemy - practical-deep-learning-with-pytorch
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06 Logistic Regression with PyTorch/024 Logistic Regression with PyTorch.mp4 123.9 MB
07 Feedforward Neural Network with PyTorch/029 Feedforward Neural Network in PyTorch.mp4 66.2 MB
05 Linear Regression with PyTorch/018 Linear Regression in PyTorch.mp4 63.6 MB
08 Convolutional Neural Network (CNN) with PyTorch/041 CNN in PyTorch.mp4 59.8 MB
09 Recurrent Neural Networks (RNN)/048 RNN in PyTorch.mp4 44.7 MB
09 Recurrent Neural Networks (RNN)/049 More RNN Models in PyTorch.mp4 44.0 MB
07 Feedforward Neural Network with PyTorch/030 More Feedforward Neural Network Models in PyTorch.mp4 42.7 MB
10 Long Short-Term Memory Networks (LSTM)/054 LSTM in PyTorch.mp4 39.8 MB
08 Convolutional Neural Network (CNN) with PyTorch/042 More CNN Models in PyTorch.mp4 30.4 MB
08 Convolutional Neural Network (CNN) with PyTorch/034 One Convolutional Layer_ Input Depth of 1.mp4 29.9 MB
10 Long Short-Term Memory Networks (LSTM)/055 More LSTM Models in PyTorch.mp4 29.6 MB
06 Logistic Regression with PyTorch/023 Logistic Regression In-depth.mp4 26.2 MB
02 Software Requirements/004 PyTorch with GPU on AWS.mp4 25.3 MB
03 PyTorch Fundamentals_ Matrices/012 Basic Mathematical Tensor Operations.mp4 22.2 MB
08 Convolutional Neural Network (CNN) with PyTorch/039 Padding for Convolutional Layers.mp4 21.9 MB
06 Logistic Regression with PyTorch/025 Logistic Regression From CPU to GPU in PyTorch.mp4 21.7 MB
10 Long Short-Term Memory Networks (LSTM)/052 Introduction to LSTMs.mp4 21.0 MB
05 Linear Regression with PyTorch/019 Linear Regression From CPU to GPU in PyTorch.mp4 20.7 MB
09 Recurrent Neural Networks (RNN)/047 Introduction to RNN.mp4 20.1 MB
08 Convolutional Neural Network (CNN) with PyTorch/035 One Convolutional Layer_ Input Depth of 3.mp4 19.7 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] PyTorch for Deep Learning with Python Bootcamp.zip
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[ FreeCourseWeb.com ] PyTorch for Deep Learning with Python Bootcamp.zip 2.0 GB
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lesson252.mp4 144.4 MB
lesson1.mp4 137.5 MB
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lesson246.mp4 122.0 MB
lesson289.mp4 121.1 MB
lesson116.mp4 120.0 MB
lesson227.mp4 119.7 MB
lesson119.mp4 113.6 MB
lesson210.mp4 111.6 MB
lesson260.mp4 110.0 MB
lesson232.mp4 108.9 MB
lesson72.mp4 108.3 MB
lesson315.mp4 107.1 MB
lesson52.mp4 104.3 MB
lesson169.mp4 103.3 MB
lesson201.mp4 103.1 MB
lesson239.mp4 102.9 MB
lesson117.mp4 99.9 MB
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- 【影视】 [FreeCoursesOnline.Me] [UDACITY] PyTorch Scholarship Challenge - [FCO]
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[FreeCoursesOnline.Me] [UDACITY] PyTorch Scholarship Challenge - [FCO] 1.2 GB
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- 【影视】 [ DevCourseWeb.com ] Udemy - Fundamentals of Deep Learning - Core Concepts and PyTorch
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~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/9. Train an MNIST model using PyTorch Lightning II.mp4 124.2 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/10. Next steps.mp4 115.9 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/7. Train an MNIST model using PyTorch's nn module II.mp4 107.1 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/4. Train an MNIST model from scratch in plain PyTorch III.mp4 107.0 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/4. Gradient descent.mp4 105.9 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/3. Train an MNIST model from scratch in plain PyTorch II.mp4 101.0 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/2. Train an MNIST model from scratch in plain PyTorch I.mp4 100.9 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/6. Train an MNIST model using PyTorch's nn module I.mp4 89.1 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/8. Train an MNIST model using PyTorch Lightning I.mp4 87.0 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/11. Computational graph IV - backward pass III.mp4 86.8 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/5. Train an MNIST model from scratch in plain PyTorch IV.mp4 79.3 MB
~Get Your Files Here !/1. Deep learning - the big picture/1. Introduction.mp4 75.5 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/10. Computational graph III - backward pass II.mp4 66.6 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/9. Computational graph II - backward pass.mp4 50.4 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/12. Forward and backward pass recap and wrap up.mp4 48.2 MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/3. Network view.mp4 47.6 MB
~Get Your Files Here !/4. How to make neural networks work in reality/8. Batch normalization.mp4 46.0 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/5. Calculus detour - partial derivatives and gradient descent.mp4 44.2 MB
~Get Your Files Here !/4. How to make neural networks work in reality/4. Stochastic and mini-batch gradient descent.mp4 41.6 MB
~Get Your Files Here !/4. How to make neural networks work in reality/1. Vanishing gradient problem.mp4 40.2 MB
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03 - Working with Classes and Tensors/01 - Classes.mp4 51.3 MB
04 - Working with Loss, Autograd, and Optimizers/01 - Loss.mp4 43.4 MB
02 - Fashion MNIST and Neural Networks/01 - Working with the Fashion MNIST dataset.mp4 34.8 MB
05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.mp4 15.5 MB
06 - Conclusion/01 - Future project ideas.mp4 15.1 MB
05 - Troubleshooting and CPUGPU Usage/01 - Troubleshooting.mp4 12.0 MB
04 - Working with Loss, Autograd, and Optimizers/02 - Autograd.mp4 11.3 MB
02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.mp4 11.1 MB
04 - Working with Loss, Autograd, and Optimizers/05 - Using optimizers.mp4 10.5 MB
01 - Introduction/01 - Welcome.mp4 9.9 MB
04 - Working with Loss, Autograd, and Optimizers/03 - Autograd with tensors.mp4 9.4 MB
05 - Troubleshooting and CPUGPU Usage/03 - Validation.mp4 8.1 MB
03 - Working with Classes and Tensors/02 - Tensors.mp4 7.6 MB
03 - Working with Classes and Tensors/03 - Training the network.mp4 5.9 MB
01 - Introduction/02 - What you should know before watching this course.mp4 4.0 MB
04 - Working with Loss, Autograd, and Optimizers/04 - Optimizers.mp4 3.0 MB
05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.srt 9.3 kB
02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.srt 9.1 kB
04 - Working with Loss, Autograd, and Optimizers/01 - Loss.srt 8.5 kB
05 - Troubleshooting and CPUGPU Usage/01 - Troubleshooting.srt 7.8 kB
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~Get Your Files Here !/3. GAN with Pytorch/1. Introduction.mp4 180.7 MB
~Get Your Files Here !/1. Introduction/6. Simple Neural Network with Pytorch Implementation Part 1.mp4 166.7 MB
~Get Your Files Here !/4. NLP with Pytorch/3. Recurrent Neural Network Part 1 Explanation.mp4 165.5 MB
~Get Your Files Here !/1. Introduction/7. Simple Neural Network with Pytorch Implementation Part 2.mp4 156.2 MB
~Get Your Files Here !/2. Image Processing with Pytorch/5. Project Time MNIST Implementation Part 1 Importing libraries and data.mp4 155.9 MB
~Get Your Files Here !/2. Image Processing with Pytorch/10. Project Time MNIST Implementation Part 6.mp4 152.0 MB
~Get Your Files Here !/2. Image Processing with Pytorch/9. Project Time MNIST Implementation Part 5.mp4 137.9 MB
~Get Your Files Here !/3. GAN with Pytorch/6. GAN Project Fully Connected Network and results.mp4 136.6 MB
~Get Your Files Here !/3. GAN with Pytorch/4. GAN Project Discriminator Construction.mp4 116.3 MB
~Get Your Files Here !/5. Reinforcement with Pytorch/3. Introduction to the agent, environment, action and observation.mp4 105.9 MB
~Get Your Files Here !/3. GAN with Pytorch/3. GAN Project Generator Construction.mp4 103.8 MB
~Get Your Files Here !/5. Reinforcement with Pytorch/12. Cart Pole Implementation Part 2.mp4 100.8 MB
~Get Your Files Here !/4. NLP with Pytorch/9. Language Model Implementation Part 1.mp4 97.7 MB
~Get Your Files Here !/5. Reinforcement with Pytorch/16. Developing hill climbing part 2.mp4 97.3 MB
~Get Your Files Here !/4. NLP with Pytorch/2. Recurrent Neural Network Implementation Part 1.mp4 95.7 MB
~Get Your Files Here !/4. NLP with Pytorch/4. Recurrent Neural Network Implementation Part 2.mp4 95.5 MB
~Get Your Files Here !/5. Reinforcement with Pytorch/9. Reinforcement Learning Algorithm.mp4 94.6 MB
~Get Your Files Here !/4. NLP with Pytorch/10. Language Model Implementation Part 1 (Explanation).mp4 94.1 MB
~Get Your Files Here !/4. NLP with Pytorch/8. LSTMs Implementation Part 1 Explanation and final implementation.mp4 92.2 MB
~Get Your Files Here !/2. Image Processing with Pytorch/7. Project Time MNIST Implementation Part 3.mp4 86.8 MB
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Exercise Files/code_33630.zip 103.9 MB
5.Recommending a Movie with Boltzmann Machines/19.Making Boltzmann Machines.mp4 60.9 MB
3.Understanding RNN and LSTM/12.Why LSTM.mp4 52.1 MB
5.Recommending a Movie with Boltzmann Machines/17.Introduction to Boltzmann Machines.mp4 41.6 MB
1.Getting Ready with PyTorch/02.Using PyTorch.mp4 40.7 MB
1.Getting Ready with PyTorch/04.Linear Regression and Logistic Regression.mp4 34.5 MB
2.Convolutional Neural Network/07.Making CNN.mp4 33.7 MB
6.Movie Rating Using a Autoencoders/21.Introduction to Autoencoders.mp4 32.7 MB
3.Understanding RNN and LSTM/11.Making RNN for Prediction.mp4 31.1 MB
3.Understanding RNN and LSTM/10.Understanding Recurrent Neural Network.mp4 29.4 MB
4.Using Autoencoders for Fraud Detection/15.Developing a Model.mp4 27.8 MB
4.Using Autoencoders for Fraud Detection/14.Getting Ready with Data.mp4 27.2 MB
6.Movie Rating Using a Autoencoders/23.Making Autoencoders.mp4 23.8 MB
2.Convolutional Neural Network/06.Looking into Images from a Machine Perspective.mp4 23.4 MB
2.Convolutional Neural Network/09.Output Layer.mp4 21.5 MB
2.Convolutional Neural Network/08.Pooling Layers.mp4 19.5 MB
5.Recommending a Movie with Boltzmann Machines/18.Getting Ready for Recommender System.mp4 18.5 MB
2.Convolutional Neural Network/05.Understanding Convolutional Neural Network.mp4 17.9 MB
7.Making Model for Object Recognition/26.Developing a Model.mp4 16.5 MB
1.Getting Ready with PyTorch/03.Understanding Regression.mp4 13.0 MB
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~Get Your Files Here !/8. Pneumonia-Classification/7. Interpretability.mp4 128.1 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/11. MNIST with CNN - Code Along - Part One.mp4 106.9 MB
~Get Your Files Here !/1. Introduction/2. Installation and Environment Setup.mp4 103.9 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/3. ANN with MNIST - Part One - Data.mp4 102.6 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/15. Using GPUs for PyTorch.mp4 101.2 MB
~Get Your Files Here !/9. Cardiac-Detection/6. Train-02-Model-Creation.mp4 100.3 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/14. Why do we need GPUs.mp4 97.5 MB
~Get Your Files Here !/7. Data Formats in Medical Imaging/3. DICOM-in-Python.mp4 93.3 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/12. MNIST with CNN - Code Along - Part Two.mp4 91.8 MB
~Get Your Files Here !/8. Pneumonia-Classification/2. Preprocessing.mp4 90.2 MB
~Get Your Files Here !/8. Pneumonia-Classification/4. Train-02-Model-Creation.mp4 86.8 MB
~Get Your Files Here !/3. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp4 86.5 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/5. ANN with MNIST - Part Three - Training.mp4 82.0 MB
~Get Your Files Here !/5. CNN - Convolutional Neural Networks/7. Image Filters and Kernels.mp4 75.8 MB
~Get Your Files Here !/8. Pneumonia-Classification/3. Train-01-Data-Loading.mp4 73.2 MB
~Get Your Files Here !/9. Cardiac-Detection/2. 02-Preprocessing.mp4 70.1 MB
~Get Your Files Here !/4. PyTorch Basics/3. Tensor Basics-Part Two.mp4 70.1 MB
~Get Your Files Here !/7. Data Formats in Medical Imaging/6. Preprocessing.mp4 68.2 MB
~Get Your Files Here !/10. Atrium-Segmentation/6. UNet.mp4 67.6 MB
~Get Your Files Here !/10. Atrium-Segmentation/9. Train-03-Evaluation.mp4 66.5 MB
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1.We got a lot to do - let's get into it!/12.12 Congratulation.mp4 89.0 MB
1.We got a lot to do - let's get into it!/07.7 A deep Neural Network in Pytorch 5.mp4 51.1 MB
1.We got a lot to do - let's get into it!/06.6 linear regression in pytorch.mp4 45.5 MB
1.We got a lot to do - let's get into it!/04.4 understanding gradient descent.mp4 42.0 MB
1.We got a lot to do - let's get into it!/11.11 Convolutional Neural Networks CNN in pytorch 3 Final Test.mp4 36.3 MB
1.We got a lot to do - let's get into it!/10.10 Convolutional Neural Networks CNN in pytorch 2.mp4 35.6 MB
1.We got a lot to do - let's get into it!/05.5 transition to pytorch.mp4 26.3 MB
1.We got a lot to do - let's get into it!/03.3 The fundamentals.mp4 18.9 MB
1.We got a lot to do - let's get into it!/09.9 Convolutional Neural Networks in pytorch 1.mp4 18.1 MB
1.We got a lot to do - let's get into it!/08.8 Convolutional Neural Networks basics.mp4 12.6 MB
1.We got a lot to do - let's get into it!/01.1 Why taking this course Because....mp4 11.1 MB
1.We got a lot to do - let's get into it!/02.2 How to install pytorch.mp4 3.5 MB
Exercise Files/code_33915.zip 14.0 kB
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~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/07 - Validation and testing.mp4 11.1 MB
~Get Your Files Here !/05 - 4. Manipulate Tensors/04 - Automatic differentiation (Autograd).mp4 10.9 MB
~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/06 - Model development and training.mp4 10.4 MB
~Get Your Files Here !/05 - 4. Manipulate Tensors/01 - Tensor operations.mp4 10.1 MB
~Get Your Files Here !/05 - 4. Manipulate Tensors/03 - Linear algebra operations.mp4 8.5 MB
~Get Your Files Here !/04 - 3. Creating Tensors/01 - Different ways to create tensors.mp4 8.4 MB
~Get Your Files Here !/02 - 1. PyTorch Overview and Introduction to Google Colaboratory/01 - Introduction to deep learning.mp4 8.1 MB
~Get Your Files Here !/03 - 2. Tensors/01 - Introduction to tensors.mp4 6.6 MB
~Get Your Files Here !/04 - 3. Creating Tensors/03 - Tensor data types.mp4 6.5 MB
~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/05 - Data batching.mp4 6.4 MB
~Get Your Files Here !/05 - 4. Manipulate Tensors/02 - Mathematical functions.mp4 6.4 MB
~Get Your Files Here !/01 - Introduction/03 - Tour of CoderPad.mp4 6.1 MB
~Get Your Files Here !/02 - 1. PyTorch Overview and Introduction to Google Colaboratory/03 - Google Colaboratory basics.mp4 5.7 MB
~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/04 - Data transforms.mp4 5.7 MB
~Get Your Files Here !/04 - 3. Creating Tensors/04 - Creating tensors from random samples.mp4 5.5 MB
~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/03 - Data loading.mp4 5.2 MB
~Get Your Files Here !/06 - 5. Developing a Deep Learning Model/01 - Introduction to the DL training process.mp4 4.8 MB
~Get Your Files Here !/05 - 4. Manipulate Tensors/05 - Solution Split tensors to form new tensors.mp4 4.7 MB
~Get Your Files Here !/04 - 3. Creating Tensors/06 - Solution Create tensors.mp4 4.6 MB
~Get Your Files Here !/04 - 3. Creating Tensors/02 - Tensor attributes.mp4 4.1 MB
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- 【压缩文件】 Deep Learning Pytorch with Convolutional Neural Networks
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- 【影视】 [FreeCoursesOnline.Me] ZeroToMastery - PyTorch for Deep Learning
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- 【影视】 [Tutorialsplanet.NET] Udemy - PyTorch Deep Learning and Artificial Intelligence
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18. Setting up your Environment (FAQ by Student Request)/2. Windows-Focused Environment Setup 2018.mp4 189.5 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.5 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 158.0 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 119.8 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.5 MB
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11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 110.0 MB
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