AndLydakis/DeepLearningWithPyTorch

Going through the Deep Learning With PyTorch book

Deep Learning With PyThon

Chapters

• Chapter 2 - PreTrained Networks
  • Using Pretrained modules, Testing on ImageNet trained network
    
• Chapter 3 - Tensor Basics
  • Tensor Indexing, Storage, Serialization
  
• Chapter 4 - Real World Data Representation
  • Representing images, ordinal data, text
  
• Chapter 5 - The mechanics of learning
  • Gradient Descent
  • Autograd
    
• Chager 6 - Fitting Data with NNs
  
  • Linear Model
  • Basic NN
• Chapter 7 - Is it a bird? Is it a plane?
  
• Chapter 8 - Using Convolutions to Generalise
  
  
• End-to-End Cancer Detector
  
  • Data Loading
  • Detecting Suspect Nodules