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Version control and visual diffs for Jupyter notebooks with Jovian.ml

Jovian.ml is a sharing and collaboration platform for data science projects. This post is a follow-up the introductory post on sharing & embedding Jupyter notebooks online with Jovian. Jupyter notebooks are great for interactive programming and visualization of outputs. For this very reason, however, it is sometimes quite difficult to version control Jupyter notebooks. Git […]

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Training Deep Neural Networks on a GPU with PyTorch

Part 4 of “PyTorch: Zero to GANs” This post is the fourth in a series of tutorials on building deep learning models with PyTorch, an open source neural networks library. Check out the full series: PyTorch Basics: Tensors & Gradients Linear Regression & Gradient Descent Classification using Logistic Regression Feedforward Neural Networks & Training on GPUs […]

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“How’s that movie?” — Neural collaborative filtering with FastAI

Build a state-of-the-art movie recommendation system with just 10 lines of code Recommender systems are at the core of pretty much every online service we interact with. Social networking sites like Facebook, Twitter and Instagram recommend posts you might like, or people you might know. Video streaming services like YouTube and Netflix recommend videos, movies […]

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Image Classification using Logistic Regression in PyTorch

Part 3 of “PyTorch: Zero to GANs” This post is the third in a series of tutorials on building deep learning models with PyTorch, an open source neural networks library. Check out the full series: PyTorch Basics: Tensors & Gradients Linear Regression & Gradient Descent Classification using Logistic Regression (this post) Feedforward Neural Networks & Training […]

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Linear Regression and Gradient Descent from scratch in PyTorch

Part 2 of “PyTorch: Zero to GANs” This post is the second in a series of tutorials on building deep learning models with PyTorch, an open source neural networks library developed and maintained by Facebook. Check out the full series: PyTorch Basics: Tensors & Gradients Linear Regression & Gradient Descent (this post) Classification using Logistic Regression […]

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PyTorch Basics: Tensors and Gradients

Part 1 of “PyTorch: Zero to GANs” This post is the first in a series of tutorials on building deep learning models with PyTorch, an open source neural networks library developed and maintained by Facebook. Check out the full series: PyTorch Basics: Tensors & Gradients (this post) Linear Regression & Gradient Descent Classification using Logistic […]

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Training an Image Classifier from scratch in 15 minutes

Using PyTorch, FastAI and the CIFAR-10 image dataset In this article, we’ll try to replicate the approach used by the FastAI team to win the Stanford DAWNBench competition by training a model that achieves 94% accuracy on the CIFAR-10 dataset in under 3 minutes. NOTE: Some basic familiarity with PyTorch and the FastAI library is […]