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This repository demonstrates a real world case study.The aim of this project is to create a model to predict the correct steering angle from the given test image of the road. Here, our loss is Mean Squared Error(MSE). Our goal is to reduce the MSE error as low as possible.
This repo is about developing convolutional neural networks using MNIST dataset. I have used google colab to develop and test this performance of the model.
Face mask detection and recognition is a deep learning Convolutional neural network model that deals with mask and useful feature during Covid-19 situation and can easily detect the face from crowds.
In this repository I have used TensorFlow to create various user defined Neural Networks like Fully Connected Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks