fast.ai
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About
fast.ai is a research institute and educational organization co-founded by Jeremy Howard and Rachel Thomas, dedicated to democratizing deep learning. With the slogan 'Making neural nets uncool again,' fast.ai aims to make advanced AI concepts accessible to people from all backgrounds, regardless of their prior experience or resources. They achieve this through free, practical courses for coders (such as 'Practical Deep Learning for Coders' and 'From Deep Learning Foundations to Stable Diffusion'), robust open-source software libraries like fastai for PyTorch and nbdev, cutting-edge research, and a supportive global community. They have been recognized by publications like The Economist and MIT Tech Review for their efforts in diversifying the AI workforce and beating tech giants in AI speed tests. Their work emphasizes practical application and breaking down barriers to entry in the field of artificial intelligence.
Platform
Features
• published educational book on deep learning
• active online community and forums
• cutting-edge ai research initiatives
• open-source nbdev library for software development
• open-source fastai library for pytorch
• free deep learning courses for coders
Pricing Plans
Free Access
Free Plan• Access to all online courses
• Open-source software libraries (fastai, nbdev)
• Community forum access
Job Opportunities
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