{"id":15076065,"url":"https://github.com/getvmio/free-neural-networks-resources","last_synced_at":"2025-09-01T13:37:21.599Z","repository":{"id":251137152,"uuid":"822445323","full_name":"getvmio/free-neural-networks-resources","owner":"getvmio","description":"Neural Networks Free Resources | This repo collects 13 of free resources for Neural Networks. 🧬 Explore the fascinating world of Neural Networks with our dedicated repository! 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Offering a comprehensive collection of free resources, courses, and a user-friendly online Playground, this is your laboratory for diving deep into the core of AI and machine learning.\n\n## Resources\n\n|   Index | Name                                                                                                                                                                                        | Category            | Description                                                                                                                                                                                                    |\n|---------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n|       1 | [Introduction to TensorFlow for AI, Machine Learning \u0026 Deep Learning](https://getvm.io/tutorials/introduction-to-tensorflow-for-artificial-intelligence-machine-learning-and-deep-learning) | Video Courses       | Gain hands-on experience in building neural networks, training them for computer vision, and understanding the use of convolutions to improve model performance.                                               |\n|       2 | [The Little Book of Deep Learning](https://getvm.io/tutorials/the-little-book-of-deep-learning)                                                                                             | Technical Tutorials | A concise and informative guide covering key topics in deep learning, machine learning, and neural networks. Explore foundations, model architectures, and practical applications.                             |\n|       3 | [A Selective Overview of Deep Learning](https://getvm.io/tutorials/a-selective-overview-of-deep-learning)                                                                                   | Technical Tutorials | Comprehensive overview of key concepts and recent advancements in deep learning, covering neural network models, training techniques, and theoretical foundations.                                             |\n|       4 | [Deep Learning](https://getvm.io/tutorials/cmu-10-707-deep-learning-fall-2017-by-ruslan-salakhutdinov)                                                                                      | University Courses  | Comprehensive introduction to deep learning, covering the latest techniques and applications. Taught by renowned expert Ruslan Salakhutdinov.                                                                  |\n|       5 | [Neural Networks for Machine Learning](https://getvm.io/tutorials/mooc-neural-networks-for-machine-learning-geoffrey-hinton-2016-coursera)                                                  | University Courses  | Comprehensive introduction to neural networks and machine learning from renowned expert Geoffrey Hinton. Covers fundamentals, advanced topics, and hands-on coding exercises.                                  |\n|       6 | [Deep Learning at Oxford 2015](https://getvm.io/tutorials/deep-learning-at-oxford-2015-nando-de-freitas)                                                                                    | University Courses  | Comprehensive coverage of deep learning topics, delivered by a renowned expert. Includes hands-on demonstrations and code examples, suitable for beginners and advanced learners.                              |\n|       7 | [NYU Deep Learning](https://getvm.io/tutorials/nyu-deep-learning-spring-2020)                                                                                                               | University Courses  | Dive into the world of deep learning with this comprehensive Spring 2020 course from NYU. Learn advanced techniques from experienced instructors and access video lectures and course materials.               |\n|       8 | [Deep Learning](https://getvm.io/tutorials/cs230-deep-learning-autumn-2018-stanford-university)                                                                                             | University Courses  | Comprehensive deep learning course from Stanford University, covering neural networks, computer vision, NLP, and more. Hands-on projects and experienced instructors.                                          |\n|       9 | [Deep Learning Analysis](https://getvm.io/tutorials/stats-385-analysis-of-deep-learning-stanford)                                                                                           | University Courses  | Comprehensive course on deep learning theory, architectures, and applications. Gain hands-on experience with implementing and training deep neural networks.                                                   |\n|      10 | [Theories of Deep Learning](https://getvm.io/tutorials/stats-385-theories-of-deep-learning-stanford)                                                                                        | University Courses  | Comprehensive exploration of the theoretical foundations of deep learning, covering representation learning, optimization, and generalization. Ideal for graduate students, researchers, and AI professionals. |\n|      11 | [Pattern Recognition and Application](https://getvm.io/tutorials/pattern-recognition-and-application-iit-kharagpur)                                                                         | University Courses  | Comprehensive course on pattern recognition techniques and applications, taught by experts from the prestigious IIT Kharagpur.                                                                                 |\n|      12 | [Information Theory, Pattern Recognition \u0026 Neural Networks](https://getvm.io/tutorials/information-theory-pattern-recognition-and-neural-networks-university-of-cambridge)                  | University Courses  | Comprehensive introduction to information theory, pattern recognition, and neural networks. Taught by experts from the University of Cambridge with practical applications and real-world examples.            |\n|      13 | [Neural Networks for NLP](https://getvm.io/tutorials/cmu-neural-nets-for-nlp-2021)                                                                                                          | University Courses  | Comprehensive course on neural networks for natural language processing (NLP) from Carnegie Mellon University. Covers fundamental concepts, techniques, and latest advancements.                               |\n\n## More\n\n- [Free JavaScript Resources](https://github.com/getvmio/free-javascript-resources)\n- [Free HTML Resources](https://github.com/getvmio/free-html-resources)\n- [Free R Resources](https://github.com/getvmio/free-r-resources)\n- [Free Java Resources](https://github.com/getvmio/free-java-resources)\n- [Free Natural Language Processing Resources](https://github.com/getvmio/free-natural-language-processing-resources)\n- [Free Computer Science Resources](https://github.com/getvmio/free-computer-science-resources)\n- [Free React Resources](https://github.com/getvmio/free-react-resources)\n- [Free Security Resources](https://github.com/getvmio/free-security-resources)\n- [Free Node.js Resources](https://github.com/getvmio/free-node-js-resources)\n- [Free PyTorch Resources](https://github.com/getvmio/free-pytorch-resources)\n- [Free Computer Architecture Resources](https://github.com/getvmio/free-computer-architecture-resources)\n- [Free Functional Programming Resources](https://github.com/getvmio/free-functional-programming-resources)\n- [Free Operating System Resources](https://github.com/getvmio/free-operating-system-resources)\n- [Free Cryptography Resources](https://github.com/getvmio/free-cryptography-resources)\n- [Free Compiler Resources](https://github.com/getvmio/free-compiler-resources)\n- [Free Blockchain Resources](https://github.com/getvmio/free-blockchain-resources)\n- [Free SQL Resources](https://github.com/getvmio/free-sql-resources)\n- [Free Python Resources](https://github.com/getvmio/free-python-resources)\n- [Free Unix Resources](https://github.com/getvmio/free-unix-resources)\n- [Free Programming Resources](https://github.com/getvmio/free-programming-resources)\n- [Free Object-Oriented Programming Resources](https://github.com/getvmio/free-object-oriented-programming-resources)\n- [Free CSS Resources](https://github.com/getvmio/free-css-resources)\n- [Free Machine Learning Resources](https://github.com/getvmio/free-machine-learning-resources)\n- [Free Web Development Resources](https://github.com/getvmio/free-web-development-resources)\n- [Free Shell Scripting Resources](https://github.com/getvmio/free-shell-scripting-resources)\n- [Free Rust Resources](https://github.com/getvmio/free-rust-resources)\n- [Free Haskell Resources](https://github.com/getvmio/free-haskell-resources)\n- [Free Software Development Resources](https://github.com/getvmio/free-software-development-resources)\n- [Free Data Science Resources](https://github.com/getvmio/free-data-science-resources)\n- [Free Git Resources](https://github.com/getvmio/free-git-resources)\n- [Free Networking Resources](https://github.com/getvmio/free-networking-resources)\n- [Free Game Development Resources](https://github.com/getvmio/free-game-development-resources)\n- [Free TensorFlow Resources](https://github.com/getvmio/free-tensorflow-resources)\n- [Free Distributed Systems Resources](https://github.com/getvmio/free-distributed-systems-resources)\n- [Free Embedded Systems Resources](https://github.com/getvmio/free-embedded-systems-resources)\n- [Free DevOps Resources](https://github.com/getvmio/free-devops-resources)\n- [Free Docker Resources](https://github.com/getvmio/free-docker-resources)\n- [Free Robotics Resources](https://github.com/getvmio/free-robotics-resources)\n- [Free Computer Vision Resources](https://github.com/getvmio/free-computer-vision-resources)\n- [Free Deep Learning Resources](https://github.com/getvmio/free-deep-learning-resources)\n- [Free Cloud Computing Resources](https://github.com/getvmio/free-cloud-computing-resources)\n- [Free Go Resources](https://github.com/getvmio/free-go-resources)\n- [Free Data Structures Resources](https://github.com/getvmio/free-data-structures-resources)\n- [Free Control Systems Resources](https://github.com/getvmio/free-control-systems-resources)\n- [Free Artificial Intelligence Resources](https://github.com/getvmio/free-artificial-intelligence-resources)\n- [Free Data Analysis Resources](https://github.com/getvmio/free-data-analysis-resources)\n- [Free Ruby Resources](https://github.com/getvmio/free-ruby-resources)\n- [Free C++ Resources](https://github.com/getvmio/free-cpp-resources)\n- [Free Bash Resources](https://github.com/getvmio/free-bash-resources)\n- [Free Cybersecurity Resources](https://github.com/getvmio/free-cybersecurity-resources)\n- [Free Algorithm Resources](https://github.com/getvmio/free-algorithm-resources)\n- [Free Database Resources](https://github.com/getvmio/free-database-resources)\n- [Free C Resources](https://github.com/getvmio/free-c-resources)\n- [Free Version Control Resources](https://github.com/getvmio/free-version-control-resources)\n- [Free Linux Resources](https://github.com/getvmio/free-linux-resources)\n- [Free Computer Graphics Resources](https://github.com/getvmio/free-computer-graphics-resources)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgetvmio%2Ffree-neural-networks-resources","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgetvmio%2Ffree-neural-networks-resources","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgetvmio%2Ffree-neural-networks-resources/lists"}