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Part 16 of Machine Learning From Scratch: deep learning with PyTorch. Install PyTorch (CPU or NVIDIA GPU), learn tensors, ...

This presentation provides a beginner-friendly guide to converting a TensorFlow 2.x deep learning program to PyTorch. Using a ...

Part 17 of Machine Learning From Scratch: make your model reusable. Train the final house-price pipeline, save it with joblib ...

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Why is Batch Normalization used in deep neural networks? Understand how BatchNorm normalizes activations using batch ...

48GB VRAM for local AI: we ranked ten ways to get 48 gigabytes of graphics memory, cheapest first, at this week's prices, from two ...

Taking a quick look at AsterWhite, an experimental, from-scratch narrative-generation architecture built in PyTorch. In this short ...

Learn why overriding `__getitems__` in PyTorch Dataset must return a list, not a dict, to avoid KeyError and enable batch loading ...

Stick a paper label reading "iPod" onto a green Granny Smith apple and feed it into OpenAI's CLIP vision model on a 96GB ...

Part 18, the final part of Machine Learning From Scratch: put our house-price model on the web. We build a FastAPI app that loads ...

Part 2 of Machine Learning From Scratch: install the right Python version for ML, set up VS Code with the Python and Jupyter ...

GuppyLM is a tiny 8.7M-parameter language model that talks like a fish, made to show how language models are built. This is a ...

Part 6 of Machine Learning From Scratch: get the houses data ready for a model. Fill missing values with the median, one-hot ...

Part 5 of Machine Learning From Scratch: turn the houses dataset into charts with matplotlib. A histogram of prices, a scatter plot of ...

Part 1 of Machine Learning From Scratch: what machine learning really is, how it differs from normal programming, the three kinds ...

Part 7 of Machine Learning From Scratch: our first model. Linear regression is a line, y = w·x + b. We guess the weight and bias by ...

Part 8 of Machine Learning From Scratch: the algorithm behind almost all of machine learning. We build gradient descent from ...

Part 15 of Machine Learning From Scratch: the number one problem in machine learning. We watch a model overfit (a degree-9 ...

Part 4 of Machine Learning From Scratch: load our 300-house dataset with pandas and explore it the way data scientists do: head, ...

Check out Give Me 5 Season 3, Episode 3, where MK sits down with Ralf Gommers about his journey into open source and his ...