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2. fast.ai - Wikipedia

   en.wikipedia.org/wiki/Fast.ai

   The free MOOC "Practical Deep Learning for Coders" is available as recorded videos, initially taught by Howard and Thomas at the University of San Francisco.In contrast to other online learning platforms such as Coursera or Udemy, a certificate is not granted to those successfully finishing the course online.

3. TensorFlow - Wikipedia

   en.wikipedia.org/wiki/TensorFlow

   In March 2018, Google announced TensorFlow.js version 1.0 for machine learning in JavaScript. [21] In Jan 2019, Google announced TensorFlow 2.0. [22] It became officially available in September 2019. [11] In May 2019, Google announced TensorFlow Graphics for deep learning in computer graphics. [23]

4. Keras - Wikipedia

   en.wikipedia.org/wiki/Keras

   Designed to enable fast experimentation with deep neural networks, Keras focuses on being user-friendly, modular, and extensible. It was developed as part of the research effort of project ONEIROS (Open-ended Neuro-Electronic Intelligent Robot Operating System), [ 5 ] and its primary author and maintainer is François Chollet , a Google engineer.

5. Comparison of deep learning software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_deep...

   MATLAB + Deep Learning Toolbox (formally Neural Network Toolbox) MathWorks: 1992 Proprietary: No Linux, macOS, Windows: C, C++, Java, MATLAB: MATLAB: No No Train with Parallel Computing Toolbox and generate CUDA code with GPU Coder [23] No Yes [24] Yes [25] [26] Yes [25] Yes [25] Yes With Parallel Computing Toolbox [27] Yes Microsoft Cognitive ...

6. Rachel Thomas (academic) - Wikipedia

   en.wikipedia.org/wiki/Rachel_Thomas_(academic)

   She served as an advisor for Deep Learning Indaba, a non-profit which looks to train African people in machine learning. In 2017 she was selected by Forbes magazine as one of 20+ "leading women" in artificial intelligence. [18] Thomas has also written on the application of data science and machine learning in medicine.

7. List of programming languages for artificial intelligence

   en.wikipedia.org/wiki/List_of_programming...

   C# can be used to develop high level machine learning models using Microsoft’s .NET suite. ML.NET was developed to aid integration with existing .NET projects, simplifying the process for existing software using the .NET platform. Smalltalk has been used extensively for simulations, neural networks, machine learning, and genetic algorithms.

8. GitHub Copilot - Wikipedia

   en.wikipedia.org/wiki/GitHub_Copilot

   GitHub Copilot was initially powered by the OpenAI Codex, [13] which is a modified, production version of the Generative Pre-trained Transformer 3 (GPT-3), a language model using deep-learning to produce human-like text. [14] The Codex model is additionally trained on gigabytes of source code in a dozen programming languages.

9. PyTorch - Wikipedia

   en.wikipedia.org/wiki/PyTorch

   PyTorch is a machine learning library based on the Torch library, [4] [5] [6] used for applications such as computer vision and natural language processing, [7] originally developed by Meta AI and now part of the Linux Foundation umbrella.