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MNIST Project

Welcome to this step-by-step tutorial on solving the MNIST handwritten digit classification problem using deep learning. In this video, you will learn everything you need to know — starting from the basics of deep learning, to using Google Colab, importing essential TensorFlow/ Keras libraries, building your model, training it, and evaluating the accuracy. What You Will Learn What deep learning is and why it works How to set up and run Python code in Google Colab The MNIST dataset: digits 0–9, 28×28 grayscale images Importing libraries such as NumPy, TensorFlow, and Keras How to normalize image data (0–255 to 0–1) How to build a deep neural network model Model training and performance monitoring Evaluating accuracy and making predictions