“Deep Learning with PyTorch: Zero to GANs” is a beginner-friendly online course offering a practical and coding-focused introduction to deep learning using the PyTorch framework. Learn more and register for a certificate of accomplishment here: http://zerotogans.com

Code and Resources:
Feedforward neural networks: https://jovian.ai/aakashns/04-feedforward-nn
Neural networks (minimal): https://jovian.ai/aakashns/fashion-feedforward-minimal
Data Visualization Cheatsheet: https://jovian.ai/aakashns/dataviz-cheatsheet
Discussion forum: https://jovian.ai/forum/t/lecture-3-training-deep-neural-networks-on-a-gpu/13762

Topics covered in this video:

  • Working with cloud GPU platforms like Kaggle & Colab
  • Creating a multilayer neural network using nn.Module
  • Activation function, non-linearity, and universal approximation theorem
  • Moving datasets and models to the GPU for faster training

#pytorch #python #deep-learning #data-science #developer

Training Deep Neural Networks on a GPU | Deep Learning with PyTorch: Zero to GANs | Part 3 of 6
8.60 GEEK