This repository implements the basic building blocks of Deep Residual networks which is trained on SIGNS dataset to detect numbers on hand images
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Updated
Dec 25, 2020 - Jupyter Notebook
This repository implements the basic building blocks of Deep Residual networks which is trained on SIGNS dataset to detect numbers on hand images
Building Convolution Neural Networks from Scratch
Attempt on Residual Neural Network based on ResNet 50. Applied on SIGNS dataset
Second assignment of the course "Convolutional Neural Networks", course #4 of the Deep Learning Specialization (Coursera).
Build a Neural Network Model using TensorFlow and used it on SIGNS dataset to decipher sign language. The algorithm can recognize a sign representing a figure between 0 and 5
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