dvgodoy/PyTorchStepByStep resource

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1484 stars · 508 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

The official companion repository for the book 'Deep Learning with PyTorch Step-by-Step: A Beginner's Guide', containing one runnable Jupyter notebook per chapter. It teaches PyTorch from first principles, covering gradient descent through CNNs, RNNs, and fine-tuning NLP models with HuggingFace.

Use cases

• learn pytorch from scratch
• understand how gradient descent and training loops work
• learn convolutional neural networks in pytorch
• learn rnn lstm and seq2seq models
• fine-tune bert and gpt-2 with huggingface
• run pytorch tutorials in google colab with free gpu
• beginner-friendly deep learning book with runnable code

When to choose

• you want a structured, incremental, from-first-principles introduction to PyTorch
• you prefer conversational, plain-English explanations over heavy math notation
• you want reproducible notebooks matching book outputs
• you are a beginner starting deep learning with PyTorch 2.x

When to avoid

• you need a production PyTorch library or framework rather than learning material
• you want a quick image-classification-only tutorial without fundamentals
• you need a formal, mathematically rigorous textbook treatment

Facets

learning-resource · maturity active

deep-learning machine-learning nlp computer-vision deep-learning machine-learning tutorials computer-vision python browser pytorch jupyter-notebooks book-companion beginner-friendly gradient-descent cnn rnn transformers huggingface google-colab natural-language-processing gpu

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