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DLSM

Deep Learning Study Material

Here you can find deep learning material that are related to computer vision and medical imaging analysis.


Convolutional Neural Networks Basics

Stanford course

01

02

03

  • Python/numpy tutorial [link]
  • Assignment #1 (kNN/SVM/Softmax) [link]
  • [Extra] Style Guide for Python Code [link]
  • [Extra] Kevin Keraundren's Tutorial for Python and Medical Image Analysis [link]

04

  • Backpropagation and Introduction to neural networks [notes] [video]
  • Neural Networks Part 1 [notes]
  • [Extra] Backpropagation MIT lecture [video]

05

  • Neural network part-II -- setting up the data and the model [notes] [video]
  • Neural network part-III -- learning the network [notes] [video]

06

  • Assignment #1 (2-Layer Net) [link]
  • Neural network case study [link]

07

  • Assignment #2 (Fully-connected Neural Network/Batch Normalization/Dropout) [link]
  • [Extra] Batch normalization backpropagation [link1] [link2]

08

  • Convolutional Neural Networks: architectures, convolution / pooling layers [notes] [video]
  • Assignment #2 (ConvNet on CIFAR-10) [link]

Reinforcement Learning


Tensorflow Tutorials


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