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文档列表

~Get Your Files Here !/6. Transfer learning for object recognition/3. What is transfer learning.mp4 96.7 MB
~Get Your Files Here !/5. Recognizing handwritten digits/9. Optimizers.mp4 94.5 MB
~Get Your Files Here !/5. Recognizing handwritten digits/6. Choosing the size of hidden layers.mp4 92.2 MB
~Get Your Files Here !/7. Recognizing fashion items/3. Convolutional network fundamentals.mp4 92.0 MB
~Get Your Files Here !/4. Working with datasets/6. Image augmentation in PyTorch.mp4 85.8 MB
~Get Your Files Here !/5. Recognizing handwritten digits/8. Activation functions and weight initialization.mp4 80.4 MB
~Get Your Files Here !/3. Introduction to PyTorch/7. Gradients and backpropagation.mp4 80.3 MB
~Get Your Files Here !/3. Introduction to PyTorch/3. GPUs in the context of deep learning.mp4 74.1 MB
~Get Your Files Here !/4. Working with datasets/2. Working with PyTorch datasets.mp4 73.1 MB
~Get Your Files Here !/8. Deep learning best practices/1. General ensembling in machine learning.mp4 73.0 MB
~Get Your Files Here !/4. Working with datasets/5. Image augmentation fundamentals.mp4 72.4 MB
~Get Your Files Here !/5. Recognizing handwritten digits/7. Loss functions.mp4 72.3 MB
~Get Your Files Here !/6. Transfer learning for object recognition/4. The transfer learning workflow.mp4 71.5 MB
~Get Your Files Here !/8. Deep learning best practices/5. When not to use deep learning.mp4 69.6 MB
~Get Your Files Here !/4. Working with datasets/4. Building a PyTorch dataset.mp4 69.1 MB
~Get Your Files Here !/8. Deep learning best practices/2. Ensembling in deep learning.mp4 69.1 MB
~Get Your Files Here !/6. Transfer learning for object recognition/6. Pretrained models for transfer learning.mp4 65.9 MB
~Get Your Files Here !/3. Introduction to PyTorch/1. Creating a tensor.mp4 64.1 MB
~Get Your Files Here !/5. Recognizing handwritten digits/3. Implementing a starting solution.mp4 63.3 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/6. Sending Google Colab notebooks to GitHub.mp4 62.8 MB
~Get Your Files Here !/3. Introduction to PyTorch/10. Saving and loading models.mp4 61.3 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/5. Introduction to version control with Git and GitHub.mp4 61.0 MB
~Get Your Files Here !/7. Recognizing fashion items/5. Residual network fundamentals.mp4 59.9 MB
~Get Your Files Here !/5. Recognizing handwritten digits/5. Choosing the size of input and output layers.mp4 56.4 MB
~Get Your Files Here !/3. Introduction to PyTorch/12. Approaches and solutions.mp4 55.3 MB
~Get Your Files Here !/6. Transfer learning for object recognition/2. Understanding the dataset.mp4 53.9 MB
~Get Your Files Here !/7. Recognizing fashion items/1. Downloading the dataset.mp4 52.2 MB
~Get Your Files Here !/7. Recognizing fashion items/4. Implementation in PyTorch.mp4 51.2 MB
~Get Your Files Here !/8. Deep learning best practices/3. Data versioning.mp4 47.7 MB
~Get Your Files Here !/3. Introduction to PyTorch/9. Training a model.mp4 47.3 MB
~Get Your Files Here !/3. Introduction to PyTorch/8. Automatic differentiation in PyTorch.mp4 45.2 MB
~Get Your Files Here !/7. Recognizing fashion items/7. Implementation in PyTorch.mp4 44.8 MB
~Get Your Files Here !/1. Getting started in Google Colab/1. Introduction.mp4 44.0 MB
~Get Your Files Here !/6. Transfer learning for object recognition/1. Downloading the dataset.mp4 43.7 MB
~Get Your Files Here !/6. Transfer learning for object recognition/5. Training and evaluating.mp4 43.0 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/3. Working with files directly in Google Colab.mp4 42.7 MB
~Get Your Files Here !/3. Introduction to PyTorch/2. Tensor operations.mp4 42.5 MB
~Get Your Files Here !/4. Working with datasets/1. Downloading a built-in dataset.mp4 41.4 MB
~Get Your Files Here !/7. Recognizing fashion items/6. Residual blocks in convolutional networks.mp4 41.1 MB
~Get Your Files Here !/3. Introduction to PyTorch/6. Neural network basics.mp4 39.2 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/1. Installing packages in Google Colab.mp4 38.9 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/2. Working with files using Google Drive.mp4 36.8 MB
~Get Your Files Here !/5. Recognizing handwritten digits/2. Understanding the dataset.mp4 34.8 MB
~Get Your Files Here !/7. Recognizing fashion items/2. Understanding the dataset.mp4 34.6 MB
~Get Your Files Here !/4. Working with datasets/3. Loading a dataset into Colab.mp4 34.5 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/4. Sharing files via Google Drive.mp4 34.1 MB
~Get Your Files Here !/5. Recognizing handwritten digits/1. Downloading the dataset.mp4 33.9 MB
~Get Your Files Here !/3. Introduction to PyTorch/5. Limits of the Colab GPU.mp4 31.3 MB
~Get Your Files Here !/5. Recognizing handwritten digits/4. Training and evaluating.mp4 31.1 MB
~Get Your Files Here !/8. Deep learning best practices/4. Reproducibility.mp4 29.7 MB
~Get Your Files Here !/3. Introduction to PyTorch/11. Problem statement and setup.mp4 21.1 MB
~Get Your Files Here !/1. Getting started in Google Colab/6. Running your first Google Colab code cell.mp4 20.8 MB
~Get Your Files Here !/3. Introduction to PyTorch/4. Turning on your Colab GPU.mp4 19.9 MB
~Get Your Files Here !/1. Getting started in Google Colab/9. Writing LaTeX in Google Colab.mp4 18.4 MB
~Get Your Files Here !/1. Getting started in Google Colab/3. Navigating to Google Colab.mp4 17.1 MB
~Get Your Files Here !/1. Getting started in Google Colab/7. The markup language Markdown.mp4 16.5 MB
~Get Your Files Here !/1. Getting started in Google Colab/4. Exploring your Google Colab Notebook.mp4 16.2 MB
~Get Your Files Here !/1. Getting started in Google Colab/10. Section conclusion.mp4 14.8 MB
~Get Your Files Here !/1. Getting started in Google Colab/8. Writing Markdown in Google Colab.mp4 13.1 MB
~Get Your Files Here !/1. Getting started in Google Colab/5. The definition of notebooks.mp4 12.4 MB
~Get Your Files Here !/1. Getting started in Google Colab/2. Registering for a Google account.mp4 8.1 MB
~Get Your Files Here !/4. Working with datasets/6. Image augmentation in PyTorch.srt 13.2 kB
~Get Your Files Here !/5. Recognizing handwritten digits/6. Choosing the size of hidden layers.srt 12.9 kB
~Get Your Files Here !/4. Working with datasets/4. Building a PyTorch dataset.srt 11.9 kB
~Get Your Files Here !/3. Introduction to PyTorch/9. Training a model.srt 11.5 kB
~Get Your Files Here !/6. Transfer learning for object recognition/3. What is transfer learning.srt 11.4 kB
~Get Your Files Here !/7. Recognizing fashion items/3. Convolutional network fundamentals.srt 11.3 kB
~Get Your Files Here !/5. Recognizing handwritten digits/9. Optimizers.srt 11.0 kB
~Get Your Files Here !/5. Recognizing handwritten digits/3. Implementing a starting solution.srt 10.9 kB
~Get Your Files Here !/3. Introduction to PyTorch/10. Saving and loading models.srt 10.9 kB
~Get Your Files Here !/5. Recognizing handwritten digits/8. Activation functions and weight initialization.srt 10.6 kB
~Get Your Files Here !/8. Deep learning best practices/2. Ensembling in deep learning.srt 10.6 kB
~Get Your Files Here !/3. Introduction to PyTorch/7. Gradients and backpropagation.srt 10.5 kB
~Get Your Files Here !/3. Introduction to PyTorch/12. Approaches and solutions.srt 9.9 kB
~Get Your Files Here !/7. Recognizing fashion items/4. Implementation in PyTorch.srt 9.9 kB
~Get Your Files Here !/3. Introduction to PyTorch/1. Creating a tensor.srt 9.8 kB
~Get Your Files Here !/4. Working with datasets/5. Image augmentation fundamentals.srt 9.8 kB
~Get Your Files Here !/3. Introduction to PyTorch/8. Automatic differentiation in PyTorch.srt 9.7 kB
~Get Your Files Here !/2. The ecosystem of Google Colab/6. Sending Google Colab notebooks to GitHub.srt 9.6 kB
~Get Your Files Here !/6. Transfer learning for object recognition/4. The transfer learning workflow.srt 9.5 kB
~Get Your Files Here !/4. Working with datasets/2. Working with PyTorch datasets.srt 9.4 kB
~Get Your Files Here !/6. Transfer learning for object recognition/5. Training and evaluating.srt 9.1 kB
~Get Your Files Here !/5. Recognizing handwritten digits/7. Loss functions.srt 9.1 kB
~Get Your Files Here !/6. Transfer learning for object recognition/2. Understanding the dataset.srt 9.1 kB
~Get Your Files Here !/8. Deep learning best practices/5. When not to use deep learning.srt 9.0 kB
~Get Your Files Here !/6. Transfer learning for object recognition/1. Downloading the dataset.srt 8.9 kB
~Get Your Files Here !/8. Deep learning best practices/1. General ensembling in machine learning.srt 8.9 kB
~Get Your Files Here !/6. Transfer learning for object recognition/6. Pretrained models for transfer learning.srt 8.4 kB
~Get Your Files Here !/3. Introduction to PyTorch/2. Tensor operations.srt 8.4 kB
~Get Your Files Here !/4. Working with datasets/1. Downloading a built-in dataset.srt 7.9 kB
~Get Your Files Here !/7. Recognizing fashion items/5. Residual network fundamentals.srt 7.7 kB
~Get Your Files Here !/5. Recognizing handwritten digits/2. Understanding the dataset.srt 7.7 kB
~Get Your Files Here !/7. Recognizing fashion items/2. Understanding the dataset.srt 7.4 kB
~Get Your Files Here !/7. Recognizing fashion items/1. Downloading the dataset.srt 7.4 kB
~Get Your Files Here !/7. Recognizing fashion items/7. Implementation in PyTorch.srt 7.2 kB
~Get Your Files Here !/3. Introduction to PyTorch/3. GPUs in the context of deep learning.srt 7.0 kB
~Get Your Files Here !/8. Deep learning best practices/3. Data versioning.srt 6.9 kB
~Get Your Files Here !/7. Recognizing fashion items/6. Residual blocks in convolutional networks.srt 6.7 kB
~Get Your Files Here !/5. Recognizing handwritten digits/4. Training and evaluating.srt 6.7 kB
~Get Your Files Here !/2. The ecosystem of Google Colab/3. Working with files directly in Google Colab.srt 6.7 kB
~Get Your Files Here !/5. Recognizing handwritten digits/5. Choosing the size of input and output layers.srt 6.7 kB
~Get Your Files Here !/4. Working with datasets/3. Loading a dataset into Colab.srt 6.3 kB
~Get Your Files Here !/3. Introduction to PyTorch/4. Turning on your Colab GPU.srt 6.1 kB
~Get Your Files Here !/2. The ecosystem of Google Colab/5. Introduction to version control with Git and GitHub.srt 6.0 kB
~Get Your Files Here !/2. The ecosystem of Google Colab/4. Sharing files via Google Drive.srt 5.8 kB
~Get Your Files Here !/2. The ecosystem of Google Colab/2. Working with files using Google Drive.srt 5.8 kB
~Get Your Files Here !/5. Recognizing handwritten digits/1. Downloading the dataset.srt 5.7 kB
~Get Your Files Here !/2. The ecosystem of Google Colab/1. Installing packages in Google Colab.srt 5.3 kB
~Get Your Files Here !/1. Getting started in Google Colab/6. Running your first Google Colab code cell.srt 5.2 kB
~Get Your Files Here !/3. Introduction to PyTorch/11. Problem statement and setup.srt 5.0 kB
~Get Your Files Here !/3. Introduction to PyTorch/6. Neural network basics.srt 4.9 kB
~Get Your Files Here !/3. Introduction to PyTorch/5. Limits of the Colab GPU.srt 4.7 kB
~Get Your Files Here !/8. Deep learning best practices/4. Reproducibility.srt 4.5 kB
~Get Your Files Here !/1. Getting started in Google Colab/1. Introduction.srt 3.8 kB
~Get Your Files Here !/1. Getting started in Google Colab/8. Writing Markdown in Google Colab.srt 3.1 kB
~Get Your Files Here !/1. Getting started in Google Colab/4. Exploring your Google Colab Notebook.srt 2.6 kB
~Get Your Files Here !/1. Getting started in Google Colab/7. The markup language Markdown.srt 2.5 kB
~Get Your Files Here !/1. Getting started in Google Colab/3. Navigating to Google Colab.srt 2.4 kB
~Get Your Files Here !/1. Getting started in Google Colab/9. Writing LaTeX in Google Colab.srt 1.8 kB
~Get Your Files Here !/1. Getting started in Google Colab/2. Registering for a Google account.srt 1.8 kB
~Get Your Files Here !/1. Getting started in Google Colab/5. The definition of notebooks.srt 1.5 kB
~Get Your Files Here !/1. Getting started in Google Colab/10. Section conclusion.srt 1.4 kB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
Get Bonus Downloads Here.url 182 Bytes

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