Deep Learning is one of the MIT Technology Review's 10 break-through technologies of 2013. This project and its collection of wiki pages is meant for collecting the notes from my readings on this and other related fields of Artificial Intelligence.

As a hands-on endeavour of this effort, I will be building Numenta's NuPIC open-source software on Raspberry Pi and trying out a few applications on a few RPis running NuPIC.

Table of Contents

Detailed schedule & status on the Coursera's Deep Learning Specialization can be found here.

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Manually created since the following macro is not working

1. Neocortex Neural Models: Refer to Three Classes of Deep Learning Architectures and Their Applications: A Tutorial Survey, for a more thorough survey
   1. LeNet: Convolutional Neural Network
   2. Restricted Boltzmann Machine (RBM)
   3. HMAX Object Recognition Models
   4. Neocognitron
   5. Deep Belief Networks
   6. Direct cortical simulations using spiking neuron models
      Which Model to Use for Cortical Spiking Neurons?, IEEE Trans. on Neural Network,Sep 2004
   7. Hierarchical Temporal Memory
2. TDA
3. Google search keywords & results
4. Courses - Online & Classroom
5. Books
6. Publications
7. People
8. Blogs
9. Conferences
10. Research Groups List
11. News
12. GPGPU on RPi
    1. GPU Computing on RPi - References
    2. RPi Hardware / Software Architecture - Notes
13. Open-source Software

List of Open Issues