使用 Google Colab 进行深度学习
上次更新时间：2024-12-01
课程售价: 2.9 元
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课程内容
1. Getting started in Google Colab
- 1. Introduction (免费)
- 2. Registering for a Google account (免费)
- 3. Navigating to Google Colab
- 4. Exploring your Google Colab Notebook
- 5. The definition of notebooks
- 6. Running your first Google Colab code cell
- 7. The markup language Markdown
- 8. Writing Markdown in Google Colab
- 9. Writing LaTeX in Google Colab
- 10. Section conclusion
2. The ecosystem of Google Colab
3. Introduction to PyTorch
- 1. Creating a tensor
- 2. Tensor operations
- 3. GPUs in the context of deep learning
- 4. Turning on your Colab GPU
- 5. Limits of the Colab GPU
- 6. Neural network basics
- 7. Gradients and backpropagation
- 8. Automatic differentiation in PyTorch
- 9. Training a model
- 10. Saving and loading models
- 11. Problem statement and setup
- 12. Approaches and solutions
4. Working with datasets
5. Recognizing handwritten digits
6. Transfer learning for object recognition
7. Recognizing fashion items
8. Deep learning best practices
课程内容
8个章节 , 61个讲座
1. Getting started in Google Colab
- 1. Introduction (免费)
- 2. Registering for a Google account (免费)
- 3. Navigating to Google Colab
- 4. Exploring your Google Colab Notebook
- 5. The definition of notebooks
- 6. Running your first Google Colab code cell
- 7. The markup language Markdown
- 8. Writing Markdown in Google Colab
- 9. Writing LaTeX in Google Colab
- 10. Section conclusion
2. The ecosystem of Google Colab
3. Introduction to PyTorch
- 1. Creating a tensor
- 2. Tensor operations
- 3. GPUs in the context of deep learning
- 4. Turning on your Colab GPU
- 5. Limits of the Colab GPU
- 6. Neural network basics
- 7. Gradients and backpropagation
- 8. Automatic differentiation in PyTorch
- 9. Training a model
- 10. Saving and loading models
- 11. Problem statement and setup
- 12. Approaches and solutions