PyTorch
This contains PyTorch basic demo notebooks and scripts
Paper
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Content
| Topic | SubTopic |
|---|---|
| Section: 1 PyTorch Introduction | Introduction to PyTorch |
| PyTorch installation and setup | |
| Section: 2 PyTorch Tensors and Operations | What is tensor? & Type Conversions |
| Mathematical Operations | |
| Indexing, Slicing, Concatenation, Reshaping Ops | |
| Section: 3 AutoGrad | Derivatives, Partial derivative, & Successive Differentiation |
| Section: 4 First Neural Network | Simple ANN Implementation |
| Section: 5 Custom data loading | Structured data |
| Unstructured data | |
| Section 6 Convolutional Neural Network | Create data loader |
| Define CNN model architecture | |
| Train CNN model | |
| Evaluate CNN model | |
| Predict using CNN model | |
| Section 7 Transfer learning | Download data and create data loader |
| Download and use pretrained model | |
| Train our model | |
| Evaluate our model | |
| Prediction and visualizing prediction outcome |