A detailed list of courses, associated slides, video lectures, some points for LaTeX and MATLAB, and other interesting information can be found here.

Resources for learning:

1. Deep Learning

   • All Artificial Resourses 

   • See the Probability

   • Cross Entropy

   • Understanding Cost etc (Back prop)

   • Visualize MNIST

   • Without a PhD

     • TensorFlow and Deep Learning without a PhD (Write up) (slides) (GitHub)

     • Tensorflow, deep learning and modern convolutional neural nets, without a PhD

     • Tensorflow, deep learning and modern RNN architectures, without a PhD (writeup)

     • Tensorflow and deep reinforcement learning, without a PhD

   • Machine Learning (8 part series)

   • Understand and code

   • Attention and Memory in Deep Learning and NLP

   • For Beginners

   • For Beginners how to code NN

2. Video processing

3. Image processing

4. Speech processing

5. Data compression

6. Reservoir Computing

7. Indian Languages