vaxenburg/PyTorch-Course

PyTorch Course

PyTorch-Course

Introduction to PyTorch Part 1

In this notebook, we will become familiar with:

• Tensor initialization
• Main attributes of tensors: dtype, device, requires_grad
• Tensor operations
• Derivatives and gradients
• Simple linear regression
• Train and Fit

Introduction to PyTorch Part 2

In this notebook we will solve the digit classification task with 3 different models of progressively increasing complexity:

• Linear classifier (logistic regression)
• Multilayer perceptron (non-linear fully connected network)
• Convolutional neural network

Introduction to PyTorch Part 3

In this notebook we will try to build real world classifier using Convolutional neural network.

Links:

• Machine Learning Course
• Deep Learning Course