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Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high ...
A comprehensive PyTorch tutorial demonstrating neural network training fundamentals using the CIFAR-10 dataset. This project covers the complete deep learning pipeline from data loading to model ...
Dr. James McCaffrey of Microsoft Research continues his examination of creating a PyTorch neural network binary classifier through six steps, here addressing step No. 4: training the network.
🤖 AI Chatbot with PyTorch A minimal and extendable chatbot implementation using PyTorch for classification and NLTK for natural language preprocessing. Supports JSON-based intent-response mapping, ...
Deep Learning with Yacine on MSN19d
Network in Network (NiN) Deep Neural Network Explained with PyTorch
Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...
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