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LLM Chronicles #2.2: Multi-Layer Perceptrons and MNIST Digit Classification using PyTorch (Lab)
Day #3 - Deep Learning Hello World! Classifying the MNIST Data (Deep Learning with Python)
Multi-Class Classification using MNIST Handwritten Dataset
Multi Class Classification with Class Localization in real time using MNIST Dataset.
Multi Label Classification on MNIST Dataset in real time.
CNN with PyTorch for MNIST Digit Classification from scratch| Hands-on Machine Learning with PyTorch
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Last Updated: September 27, 2026
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Summary
Welcome to the first hands-on lab session of the LLM Chronicles. Here we first implement Multi-Layer Perceptrons (MLPs) from ... In this class, we are going to see how to get our first deep neural network trained The video shows the demo of an application for In this hands-on coding session, we dive deep into building a Convolutional Neural Network (CNN) from scratch Content Description ⭐️ In this video, I have explained about Coding challenge is fast coding a mini In this video we will build our first neural network in tensorflow and Logistic regression is used for
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