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    [CS297 Proposal]

    [Duolingo Activity List]

    [Feed-ForwardNN Slides-PDF]

    [Tensorflow Slides-PDF]

    [Convolution Neural Network Slides-PDF]

    [Word Embeddings And Recurrent NNS-PDF]

    [Sequence-to-Sequence Learning-PDF]

    [Deliverable 1]

    [Deliverable 2]

    [Deliverable 3]

    [Deliverable 4]

    [CS297 Final Report-PDF]

    [CS298 Proposal]

    [CS298 Final Report-PDF]

    [CS298 Slides-PDF]

Deliverable 2: Implement The Convolution Neural Network using Tensorflow


Implement the convolution neural network to recognize handwritten Gujarati lanugage digits using Tensorflow. Handwritten Gujarati images are used as the train and test dataset. Images are scaled down to 16x16 pixels. Each digit image is converted to greyscale so each pixel can be categorized in either black or white color. Convolution neural network uses filters to selectively pass features from parts of the image to the next layer in Deep learning.

Source Code Download


1. python

2. python


[E. Charniak 2019] "Introduction to Deep Learning". Eugene Charniak. The MIT Press. 2019.