Description

“PyTorch: Zero to GANs” is an online course and series of tutorials on building deep learning models with PyTorch, an open source neural networks library. Here are the concepts covered in this course:

  1. PyTorch Basics: Tensors & Gradients
  2. Linear Regression & Gradient Descent
  3. Classification using Logistic Regression
  4. Feedforward Neural Networks & Training on GPUs (this post)
  5. Coming soon.. (CNNs, RNNs, transfer learning, GANs etc.)

This course will be updated on a weekly basis with new material.

Who this course is for:

  • Students and developers curious about data science
  • Data scientists and machine learning engineers curious about PyTorch

Requirements

  • Basic knowledge of Python
  • Basic linear algebra (vectors, matrices etc.)
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