[ DevCourseWeb.com ] Udemy - Deep Learning with Google Colab

Creation Time	Dec. 26, 2024, 9:05 a.m.
Last Access Time	Dec. 30, 2024, 4:46 p.m.
File Size	2.8 GB
Keywords	Google Colab with - Deep Udemy DevCourseWeb Learning com
Total Requests	19
Total Files	124
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~Get Your Files Here !/6. Transfer learning for object recognition/3. What is transfer learning.mp4 92.2 MB
~Get Your Files Here !/5. Recognizing handwritten digits/9. Optimizers.mp4 90.2 MB
~Get Your Files Here !/5. Recognizing handwritten digits/6. Choosing the size of hidden layers.mp4 87.9 MB
~Get Your Files Here !/7. Recognizing fashion items/3. Convolutional network fundamentals.mp4 87.7 MB
~Get Your Files Here !/4. Working with datasets/6. Image augmentation in PyTorch.mp4 81.9 MB
~Get Your Files Here !/5. Recognizing handwritten digits/8. Activation functions and weight initialization.mp4 76.6 MB
~Get Your Files Here !/3. Introduction to PyTorch/7. Gradients and backpropagation.mp4 76.6 MB
~Get Your Files Here !/3. Introduction to PyTorch/3. GPUs in the context of deep learning.mp4 70.6 MB
~Get Your Files Here !/4. Working with datasets/2. Working with PyTorch datasets.mp4 69.7 MB
~Get Your Files Here !/8. Deep learning best practices/1. General ensembling in machine learning.mp4 69.6 MB
~Get Your Files Here !/4. Working with datasets/5. Image augmentation fundamentals.mp4 69.0 MB
~Get Your Files Here !/5. Recognizing handwritten digits/7. Loss functions.mp4 68.9 MB
~Get Your Files Here !/6. Transfer learning for object recognition/4. The transfer learning workflow.mp4 68.2 MB
~Get Your Files Here !/8. Deep learning best practices/5. When not to use deep learning.mp4 66.3 MB
~Get Your Files Here !/4. Working with datasets/4. Building a PyTorch dataset.mp4 65.9 MB
~Get Your Files Here !/8. Deep learning best practices/2. Ensembling in deep learning.mp4 65.9 MB
~Get Your Files Here !/6. Transfer learning for object recognition/6. Pretrained models for transfer learning.mp4 62.8 MB
~Get Your Files Here !/3. Introduction to PyTorch/1. Creating a tensor.mp4 61.1 MB
~Get Your Files Here !/5. Recognizing handwritten digits/3. Implementing a starting solution.mp4 60.4 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/6. Sending Google Colab notebooks to GitHub.mp4 59.9 MB
~Get Your Files Here !/3. Introduction to PyTorch/10. Saving and loading models.mp4 58.4 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/5. Introduction to version control with Git and GitHub.mp4 58.2 MB
~Get Your Files Here !/7. Recognizing fashion items/5. Residual network fundamentals.mp4 57.1 MB
~Get Your Files Here !/5. Recognizing handwritten digits/5. Choosing the size of input and output layers.mp4 53.8 MB
~Get Your Files Here !/3. Introduction to PyTorch/12. Approaches and solutions.mp4 52.8 MB
~Get Your Files Here !/6. Transfer learning for object recognition/2. Understanding the dataset.mp4 51.4 MB
~Get Your Files Here !/7. Recognizing fashion items/1. Downloading the dataset.mp4 49.8 MB
~Get Your Files Here !/7. Recognizing fashion items/4. Implementation in PyTorch.mp4 48.8 MB
~Get Your Files Here !/8. Deep learning best practices/3. Data versioning.mp4 45.4 MB
~Get Your Files Here !/3. Introduction to PyTorch/9. Training a model.mp4 45.1 MB
~Get Your Files Here !/3. Introduction to PyTorch/8. Automatic differentiation in PyTorch.mp4 43.1 MB
~Get Your Files Here !/7. Recognizing fashion items/7. Implementation in PyTorch.mp4 42.8 MB
~Get Your Files Here !/1. Getting started in Google Colab/1. Introduction.mp4 42.0 MB
~Get Your Files Here !/6. Transfer learning for object recognition/1. Downloading the dataset.mp4 41.6 MB
~Get Your Files Here !/6. Transfer learning for object recognition/5. Training and evaluating.mp4 41.0 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/3. Working with files directly in Google Colab.mp4 40.8 MB
~Get Your Files Here !/3. Introduction to PyTorch/2. Tensor operations.mp4 40.5 MB
~Get Your Files Here !/4. Working with datasets/1. Downloading a built-in dataset.mp4 39.5 MB
~Get Your Files Here !/7. Recognizing fashion items/6. Residual blocks in convolutional networks.mp4 39.2 MB
~Get Your Files Here !/3. Introduction to PyTorch/6. Neural network basics.mp4 37.4 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/1. Installing packages in Google Colab.mp4 37.1 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/2. Working with files using Google Drive.mp4 35.1 MB
~Get Your Files Here !/5. Recognizing handwritten digits/2. Understanding the dataset.mp4 33.2 MB
~Get Your Files Here !/7. Recognizing fashion items/2. Understanding the dataset.mp4 33.0 MB
~Get Your Files Here !/4. Working with datasets/3. Loading a dataset into Colab.mp4 32.9 MB
~Get Your Files Here !/2. The ecosystem of Google Colab/4. Sharing files via Google Drive.mp4 32.5 MB
~Get Your Files Here !/5. Recognizing handwritten digits/1. Downloading the dataset.mp4 32.3 MB
~Get Your Files Here !/3. Introduction to PyTorch/5. Limits of the Colab GPU.mp4 29.9 MB
~Get Your Files Here !/5. Recognizing handwritten digits/4. Training and evaluating.mp4 29.6 MB
~Get Your Files Here !/8. Deep learning best practices/4. Reproducibility.mp4 28.3 MB
~Get Your Files Here !/3. Introduction to PyTorch/11. Problem statement and setup.mp4 20.1 MB
~Get Your Files Here !/1. Getting started in Google Colab/6. Running your first Google Colab code cell.mp4 19.8 MB
~Get Your Files Here !/3. Introduction to PyTorch/4. Turning on your Colab GPU.mp4 19.0 MB
~Get Your Files Here !/1. Getting started in Google Colab/9. Writing LaTeX in Google Colab.mp4 17.6 MB
~Get Your Files Here !/1. Getting started in Google Colab/3. Navigating to Google Colab.mp4 16.3 MB
~Get Your Files Here !/1. Getting started in Google Colab/7. The markup language Markdown.mp4 15.8 MB
~Get Your Files Here !/1. Getting started in Google Colab/4. Exploring your Google Colab Notebook.mp4 15.4 MB
~Get Your Files Here !/1. Getting started in Google Colab/10. Section conclusion.mp4 14.2 MB
~Get Your Files Here !/1. Getting started in Google Colab/8. Writing Markdown in Google Colab.mp4 12.5 MB
~Get Your Files Here !/1. Getting started in Google Colab/5. The definition of notebooks.mp4 11.9 MB
~Get Your Files Here !/1. Getting started in Google Colab/2. Registering for a Google account.mp4 7.7 MB
~Get Your Files Here !/4. Working with datasets/6. Image augmentation in PyTorch.srt 12.9 KB
~Get Your Files Here !/5. Recognizing handwritten digits/6. Choosing the size of hidden layers.srt 12.6 KB
~Get Your Files Here !/4. Working with datasets/4. Building a PyTorch dataset.srt 11.6 KB
~Get Your Files Here !/3. Introduction to PyTorch/9. Training a model.srt 11.2 KB
~Get Your Files Here !/6. Transfer learning for object recognition/3. What is transfer learning.srt 11.2 KB
~Get Your Files Here !/7. Recognizing fashion items/3. Convolutional network fundamentals.srt 11.0 KB
~Get Your Files Here !/5. Recognizing handwritten digits/9. Optimizers.srt 10.7 KB
~Get Your Files Here !/5. Recognizing handwritten digits/3. Implementing a starting solution.srt 10.7 KB
~Get Your Files Here !/3. Introduction to PyTorch/10. Saving and loading models.srt 10.6 KB
~Get Your Files Here !/5. Recognizing handwritten digits/8. Activation functions and weight initialization.srt 10.3 KB
~Get Your Files Here !/8. Deep learning best practices/2. Ensembling in deep learning.srt 10.3 KB
~Get Your Files Here !/3. Introduction to PyTorch/7. Gradients and backpropagation.srt 10.3 KB
~Get Your Files Here !/3. Introduction to PyTorch/12. Approaches and solutions.srt 9.7 KB
~Get Your Files Here !/7. Recognizing fashion items/4. Implementation in PyTorch.srt 9.6 KB
~Get Your Files Here !/3. Introduction to PyTorch/1. Creating a tensor.srt 9.6 KB
~Get Your Files Here !/4. Working with datasets/5. Image augmentation fundamentals.srt 9.6 KB
~Get Your Files Here !/3. Introduction to PyTorch/8. Automatic differentiation in PyTorch.srt 9.5 KB
~Get Your Files Here !/2. The ecosystem of Google Colab/6. Sending Google Colab notebooks to GitHub.srt 9.4 KB
~Get Your Files Here !/6. Transfer learning for object recognition/4. The transfer learning workflow.srt 9.3 KB
~Get Your Files Here !/4. Working with datasets/2. Working with PyTorch datasets.srt 9.2 KB
~Get Your Files Here !/6. Transfer learning for object recognition/5. Training and evaluating.srt 8.9 KB
~Get Your Files Here !/5. Recognizing handwritten digits/7. Loss functions.srt 8.9 KB
~Get Your Files Here !/6. Transfer learning for object recognition/2. Understanding the dataset.srt 8.9 KB
~Get Your Files Here !/8. Deep learning best practices/5. When not to use deep learning.srt 8.8 KB
~Get Your Files Here !/6. Transfer learning for object recognition/1. Downloading the dataset.srt 8.7 KB
~Get Your Files Here !/8. Deep learning best practices/1. General ensembling in machine learning.srt 8.7 KB
~Get Your Files Here !/6. Transfer learning for object recognition/6. Pretrained models for transfer learning.srt 8.2 KB
~Get Your Files Here !/3. Introduction to PyTorch/2. Tensor operations.srt 8.2 KB
~Get Your Files Here !/4. Working with datasets/1. Downloading a built-in dataset.srt 7.7 KB
~Get Your Files Here !/7. Recognizing fashion items/5. Residual network fundamentals.srt 7.6 KB
~Get Your Files Here !/5. Recognizing handwritten digits/2. Understanding the dataset.srt 7.5 KB
~Get Your Files Here !/7. Recognizing fashion items/2. Understanding the dataset.srt 7.2 KB
~Get Your Files Here !/7. Recognizing fashion items/1. Downloading the dataset.srt 7.2 KB
~Get Your Files Here !/7. Recognizing fashion items/7. Implementation in PyTorch.srt 7.0 KB
~Get Your Files Here !/3. Introduction to PyTorch/3. GPUs in the context of deep learning.srt 6.8 KB
~Get Your Files Here !/8. Deep learning best practices/3. Data versioning.srt 6.8 KB
~Get Your Files Here !/7. Recognizing fashion items/6. Residual blocks in convolutional networks.srt 6.6 KB
~Get Your Files Here !/5. Recognizing handwritten digits/4. Training and evaluating.srt 6.6 KB
~Get Your Files Here !/2. The ecosystem of Google Colab/3. Working with files directly in Google Colab.srt 6.5 KB
~Get Your Files Here !/5. Recognizing handwritten digits/5. Choosing the size of input and output layers.srt 6.5 KB
~Get Your Files Here !/4. Working with datasets/3. Loading a dataset into Colab.srt 6.2 KB
~Get Your Files Here !/3. Introduction to PyTorch/4. Turning on your Colab GPU.srt 6.0 KB
~Get Your Files Here !/2. The ecosystem of Google Colab/5. Introduction to version control with Git and GitHub.srt 5.9 KB
~Get Your Files Here !/2. The ecosystem of Google Colab/4. Sharing files via Google Drive.srt 5.7 KB
~Get Your Files Here !/2. The ecosystem of Google Colab/2. Working with files using Google Drive.srt 5.6 KB
~Get Your Files Here !/5. Recognizing handwritten digits/1. Downloading the dataset.srt 5.5 KB
~Get Your Files Here !/2. The ecosystem of Google Colab/1. Installing packages in Google Colab.srt 5.2 KB
~Get Your Files Here !/1. Getting started in Google Colab/6. Running your first Google Colab code cell.srt 5.1 KB
~Get Your Files Here !/3. Introduction to PyTorch/11. Problem statement and setup.srt 4.9 KB
~Get Your Files Here !/3. Introduction to PyTorch/6. Neural network basics.srt 4.8 KB
~Get Your Files Here !/3. Introduction to PyTorch/5. Limits of the Colab GPU.srt 4.6 KB
~Get Your Files Here !/8. Deep learning best practices/4. Reproducibility.srt 4.4 KB
~Get Your Files Here !/1. Getting started in Google Colab/1. Introduction.srt 3.7 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 2.4 KB
~Get Your Files Here !/1. Getting started in Google Colab/3. Navigating to Google Colab.srt 2.3 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 1.7 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 1.3 KB
~Get Your Files Here !/Bonus Resources.txt 386 bytes
Get Bonus Downloads Here.url 182 bytes

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