🧬 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.
| Index | Name | Category | Description |
|---|---|---|---|
| 1 | Introduction to TensorFlow for AI, Machine Learning & 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | University Courses | Comprehensive course on neural networks for natural language processing (NLP) from Carnegie Mellon University. Covers fundamental concepts, techniques, and latest advancements. |
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