https://github.com/freebirdscrew/google_quickdraw_implementation
Quick Draw Implementation that recognize the Doodles and the Shapes you Feed into System.
https://github.com/freebirdscrew/google_quickdraw_implementation
convolutional-neural-network convolutional-neural-networks doodles draw google google-cloud-platform google-compute-engine javascript keras-tensorflow machine-learning npy-files quickdraw quickdraw-dataset youtube-channel
Last synced: 4 months ago
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Quick Draw Implementation that recognize the Doodles and the Shapes you Feed into System.
- Host: GitHub
- URL: https://github.com/freebirdscrew/google_quickdraw_implementation
- Owner: FreeBirdsCrew
- License: mit
- Created: 2020-07-27T21:36:00.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-07-31T07:36:55.000Z (almost 5 years ago)
- Last Synced: 2025-02-01T17:51:11.610Z (5 months ago)
- Topics: convolutional-neural-network, convolutional-neural-networks, doodles, draw, google, google-cloud-platform, google-compute-engine, javascript, keras-tensorflow, machine-learning, npy-files, quickdraw, quickdraw-dataset, youtube-channel
- Language: Jupyter Notebook
- Homepage:
- Size: 252 KB
- Stars: 8
- Watchers: 1
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# QUICK DRAW - GOOGLE DOODLGE RECOGNITION CLONE OR SKETCHER
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
Watch the Full Vidoe and Like Share and Subscribe our YouTube Channel.
YouTube Channel - https://www.youtube.com/channel/UC4RZP6hNT5gMlWCm0NDzUWg?view_as=subscriber?sub_confirmation=1