PyTorch Notebooks

This repository documents my learning journey with PyTorch.
It contains a series of Jupyter notebooks that progressively introduce fundamental concepts, experiments, and small projects.

Lecture Summaries

• Lecture 03
  Topic: FashionMNIST classification

  • Implemented two models on the FashionMNIST dataset:
    • A fully connected non-linear model.
    • A convolutional neural network (CNN) for improved performance on image data.

• Lecture 02
  Topic: Non-linear models with ReLU activations

  • Trained a model on the make_circles dataset.
  • Extended the approach to the make_moons dataset.

• Lecture 01
  Topic: First PyTorch model

  • Built and trained a simple linear regression model for predicting linear data.

• Lecture 00
  Topic: PyTorch syntax and tensors

  • Practiced basic PyTorch syntax.
  • Explored fundamental tensor operations.