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https://github.com/getvmio/free-neural-networks-resources
[Neural Networks Free Resources] This repository collects 13 of free resources for Neural Networks. 🧬 Explore the fascinating world of Neural Networks with our dedicated repository! Offering a comprehensive collection of free resources, courses, and a user-friendly online Playground, this is your...
https://github.com/getvmio/free-neural-networks-resources
List: free-neural-networks-resources
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[Neural Networks Free Resources] This repository collects 13 of free resources for Neural Networks. 🧬 Explore the fascinating world of Neural Networks with our dedicated repository! Offering a comprehensive collection of free resources, courses, and a user-friendly online Playground, this is your...
- Host: GitHub
- URL: https://github.com/getvmio/free-neural-networks-resources
- Owner: getvmio
- Created: 2024-07-01T07:05:16.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-09-01T02:22:22.000Z (3 months ago)
- Last Synced: 2024-09-25T04:01:11.655Z (3 months ago)
- Topics: awesome-list, free-resources, getvm, neural-networks, playground, programming
- Homepage: https://getvm.io/tutorials/category/neural-networks
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - free-neural-networks-resources - 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! Offering a comprehensive collection of free resources, courses, and a user-friendly online Playground, this is your labor. (Other Lists / PowerShell Lists)
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README
# Neural Networks Free Resources
🧬 Explore the fascinating world of Neural Networks with our dedicated repository! 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.
## Resources
| Index | Name | Category | Description |
|---------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 1 | [Introduction to TensorFlow for AI, Machine Learning & 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 12 | [Information Theory, Pattern Recognition & 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. |
| 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. |
## More
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