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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