Neural Network Basics

Contains following:
[1] Adaptive Learning Rate.
[2] Travelling Salesman problem using KSOM.
[3] 2 Layer Neural Network initialized with weights learnt using contrastive divergence.
[4] System Identification using RNN (BPTT and RTRL).
[5] Clustering of PDF files present in a folder