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Software: fastai for PyTorch; nbdev. Book: Practical Deep Learning for Coders with fastai and PyTorch. In the news: The Economist; The New York Times; MIT Tech Review. Corporate partner program: Get help with fast.ai technologies & courses from the partner program.
fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches.
Use PyTorch, the world’s fastest growing deep learning software, plus popular libraries like fastai and Hugging Face. There are 9 lessons, and each lesson is around 90 minutes long. The course is based on our 5-star rated book, which is freely available online.
About fast.ai. Deep learning is transforming the world. We are making deep learning easier to use and getting more people from all backgrounds involved through our: free courses for coders. software library. cutting-edge research. community. About our slogan. The world needs everyone involved with AI, no matter how unlikely your background.
fast.ai's practical deep learning MOOC for coders. Learn CNNs, RNNs, computer vision, NLP, recommendation systems, pytorch, time series, and much more
fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches.
fastai’s applications all use the same basic steps and code: Create appropriate DataLoaders. Create a Learner. Call a fit method. Make predictions or view results. In this quick start, we’ll show these steps for a wide range of different applications and datasets.
Jul 21, 2022 · The latest deep learning techniques that really matter in practice. How to implement the fundamentals of deep learning, including stochastic gradient descent and a complete training loop, from scratch. About the course. There are 9 lessons, and each lesson is around 90 minutes long.
fast.ai is a non-profit research group focused on deep learning and artificial intelligence. It was founded in 2016 by Jeremy Howard and Rachel Thomas with the goal of democratizing deep learning. [1]
Feb 2, 2023 · The fastai library simplifies training fast and accurate neural nets using modern best practices. It's based on research in to deep learning best practices undertaken at fast.ai, including "out of the box" support for vision, text, tabular, and collab (collaborative filtering) models.
