Important Links

Step by Step NN forward and Backward Propagation: Click here

Generalization, Overfitting and Unverfitting: click here
AlexNet: click here
Simple Classfication Network and MNIST dataset:  click here
SImple and CNN: click here
Plot training and testing parameters: click here
IRIS Dataset Classification: click here
Data Augmentation: Link1, Link2

CNN: Link1, Link2, Link3:cs231, Link4, Link5:AV , Link: CIFAR JS,
Optimization: Click here,
Keras : Link1

Keras Codebook
Transfer Learning: Link1Link1, Link2, Link3, Link4

Pandas: Link1, Link2, Link3, Link4, Link4, Link4, Link4Link

CUDNN DOwnload Link

https://developer.nvidia.com/rdp/cudnn-archive

CUDA 8

https://developer.nvidia.com/cuda-80-ga2-download-archive

Tensorflow

http://www.python36.com/install-tensorflow-using-official-pip-pacakage/

Pre-trained Models: Link1, Link1, Link1, Link1

Keras: Getting started

Keras demos on browser

 

Deep Compression Links:

DSD

SqueezeNet1 SqueezeNet2

SqNet Keras Impl  

SqNet3

QntizATION wITH tENSIRfLOW

dISTILLER

NN QNT

Apache MXNET

View story at Medium.com

 

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