Prerequisites: Familiarity with Python programming and fundamental machine learning concepts.

Level: Intermediate

What You'll Learn

• Tensor Manipulation

  Create, manipulate, and perform operations on PyTorch Tensors.

• Automatic Differentiation

  Understand and apply PyTorch's Autograd system for gradient computation.

• Neural Network Construction

  Build neural networks using torch.nn modules, layers, and activation functions.

• Data Loading

  Prepare and load data efficiently using PyTorch Datasets and DataLoaders.

• Model Training

  Implement complete training and evaluation loops for deep learning models.

• Model Persistence

  Save and load trained PyTorch models and checkpoints.

• Basic Architectures

  Construct simple Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).