ChiShengChen/Deep_learning_introducrion
This tutorial is designed for beginners of deep learning, introducing the basics of PyTorch to advanced applications step by step.
This tutorial helps you learn how to build and train deep learning models from the ground up. You'll start with fundamental concepts like handling data and basic model training, then progress to creating custom neural networks and advanced models for tasks like image recognition and text classification. This is for anyone interested in understanding and applying deep learning, particularly those new to the field who want a guided, step-by-step introduction.
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Use this if you are a beginner looking for a structured, hands-on introduction to deep learning using PyTorch.
Not ideal if you are an experienced deep learning practitioner seeking advanced research topics or production-level deployment strategies.
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Mar 08, 2025
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