BSR

Deep Learning

•

06 May 2024

Introduction to Neural Networks

Neural Networks: 6 Part(s)

  1. Introduction to Neural Networks
  2. Setting up Deep Learning Environment
  3. Convolutional Neural Networks
  4. Recurrent Neural Networks
  5. Generative Adversarial Networks
  6. Autoencoders

In this series, we are going to explore multiple artificial neural network architectures, starting from CNN to more advanced architectures like GANs and Autoencoders.

Note that, we are going to focus more on the coding part rather than the math behind these architectures.