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Dip Esh Coding by walterwhiteritik is a document available to read on EtoBox.

What is Dip Esh Coding about?

The document describes a project on MNIST digit classification using a neural network implemented in PyTorch, which aims to accurately recognize handwritten digits from a dataset of 70,000 grayscale images. The model features a fully connected architecture with a hidden layer of 128 neurons and achieved a classification accuracy of 97.62% after training. The project highlights the importance of deep learning in understanding machine learning and its applications in computer vision and artificial intelligenc

Author
walterwhiteritik
Language
EN