Google's Doodle Quick Draw! implementation using Python and Machine Learning along with Convolutional Neural Network 🛑.

Link - https://www.youtube.com/watch?v=2H0tSHGK_CU

Explained all about Quick Draw -

• Architecture

• Data Pre-Processing and Data Manipulation

• Activation Functions ( RELU and Sigmoid )

• Convolutional Neural Network

• Max Pooling

• Fully Connected Layers

• Flaterning

Note - If Computational power is not enough to train the model on 10-12 Doodled images or .npy files. Download .npy Files - https://bit.ly/2P7TDut

Quickdraw API for accessing the Quick Draw data that downloads the data files as and when needed, caches them locally and interprets them so they can be used. API - https://bit.ly/2DkRCbz

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