How to Perform MNIST Digit Recognition with a Multi-layer Neural Network

Written by officialgargijha | Published 2020/10/12
Tech Story Tags: machine-learning | neural-networks | mnist-dataset | handwritten-digit-recognition | backpropagation | mlp | deep-learning | artificial-intelligence

TLDR Google Colab is a free cloud service that can be used to develop deep learning applications using popular libraries such as Keras, TensorFlow, PyTorch, and OpenCV. MNIST Datasets is a dataset of 70,000 handwritten images. Each image is of 28x28 pixels with only one pixel’s intensity from 0(white) to 255(black) This database is further divided into 60,000 training and 10,000 testing images. The network is a multi-layer neural network.via the TL;DR App
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Written by officialgargijha | Still a student
Published by HackerNoon on 2020/10/12
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