🧠Plumb the depths of AI with our Deep Learning Nexus repository! Explore a comprehensive collection of free resources on neural networks and deep learning architectures. With our online Playground, implement cutting-edge models and push the boundaries of artificial intelligence.
Index | Name | Category | Description |
---|---|---|---|
1 | UvA Deep Learning Course | University Courses | Comprehensive course on the theory and applications of deep learning, with a focus on computer vision and language modelling. Taught by experienced faculty from the University of Amsterdam. |
2 | Deep Learning | University Courses | Explore the fundamentals of deep learning, from basic concepts to advanced topics, with hands-on experience in PyTorch. Prepare to understand and extend the current literature on deep learning. |
3 | Machine Learning: Intro to Statistical Learning | University Courses | Comprehensive course covering fundamental machine learning concepts and techniques, taught by renowned expert Nando de Freitas. Hands-on practical sessions using Torch deep learning framework. |
4 | Convolutional Neural Networks for Visual Recognition | University Courses | Learn to implement, train and debug your own neural networks for computer vision and deep learning applications. |
5 | Deep Learning for Natural Language Processing | University Courses | Dive deep into cutting-edge research in deep learning for natural language processing (NLP). Implement, train, and invent your own neural network models for a variety of NLP tasks. |
6 | Introduction to Machine Learning | University Courses | Comprehensive machine learning course covering theoretical foundations, algorithms, and practical applications. Suitable for students with math and computer science background. |
7 | Tensorflow for Deep Learning Research | University Courses | Learn the fundamentals of TensorFlow for deep learning research. Build models for tasks like word embeddings, translation, and optical character recognition. |
8 | Deep Learning for Natural Language Processing | University Courses | Dive into the latest advancements in deep learning for NLP, including text analysis, speech recognition, language translation, and more. Gain a solid theoretical foundation and practical experience. |
9 | Machine Learning Specialization | Video Courses | Foundational online program on machine learning and AI applications, taught by Andrew Ng of DeepLearning.AI and Stanford Online. |
10 | Deep Learning Fundamentals | Video Courses | Introductory book on deep learning fundamentals, covering neural networks, convolutional neural networks, recurrent nets, autoencoders, and deep learning use cases. |
11 | Deep Multi-Task and Meta Learning | Video Courses | In-depth understanding of state-of-the-art multi-task learning and meta-learning algorithms for few-shot learning, transfer learning, and lifelong learning. |
12 | 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. |
13 | Deep Generative Models I | University Courses | Explore the fundamentals of deep generative models, including VAEs, GANs, and flow-based models. Gain hands-on experience and insights into the latest research in this rapidly evolving field. |
14 | High-Level Vision | University Courses | Comprehensive course on advanced computer vision techniques, including object detection, recognition, and segmentation. Hands-on experience with state-of-the-art algorithms and real-world applications. |
15 | Advanced Computer Vision | University Courses | Comprehensive course on cutting-edge computer vision algorithms, deep learning techniques, and real-world applications. |
16 | Deep Learning For Visual Computing | University Courses | Comprehensive introduction to deep learning techniques for visual computing applications, including image classification, object detection, and semantic segmentation. |
17 | Deep Learning for Computer Vision | University Courses | Comprehensive course on neural network-based deep learning methods for visual recognition tasks, including image classification and object detection. |
18 | Geometric Deep Learning | University Courses | Comprehensive course exploring the intersection of deep learning and geometric data structures, with hands-on experience and real-world applications. |
19 | Neural Networks: Zero to Hero | University Courses | Comprehensive video series by renowned expert Andrej Karpathy, covering neural network fundamentals, advanced techniques, and practical applications. |
20 | Deep Learning CMU | University Courses | Explore the world of deep learning through expert-led video lectures from Carnegie Mellon University. Dive into neural networks, CNN, RNN, and more. |
21 | Deep Learning Systems | University Courses | Comprehensive introduction to deep learning systems, covering machine learning, neural networks, optimization, and hardware acceleration. Hands-on implementation of key concepts. |
22 | Deep Learning | University Courses | Comprehensive introduction to deep learning, covering the latest techniques and applications. Taught by renowned expert Ruslan Salakhutdinov. |
23 | Intermediate Deep Learning | University Courses | Comprehensive course on advanced deep learning techniques, taught by leading expert Ruslan Salakhutdinov. Hands-on experience with cutting-edge models and applications. |
24 | 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. |
25 | Practical Deep Learning for Coders | University Courses | Learn how to apply deep learning and machine learning to real-world problems with this free course from fast.ai. Build and train models for computer vision, NLP, and more. |
26 | Deep Learning from the Foundations | University Courses | Gain a deep understanding of deep learning foundations and learn how to implement state-of-the-art models from scratch with fast.ai Part 2. |
27 | Neural Networks and Applications | University Courses | Comprehensive introduction to neural networks, covering architectures, algorithms, and real-world applications in image recognition, NLP, and predictive modeling. |
28 | Deep Learning | University Courses | Comprehensive overview of deep learning, covering fundamental concepts, architectures, and applications. Taught by Prof. Mitesh M. Khapra from IIT Madras. |
29 | Introduction to Deep Learning | University Courses | Dive into the fundamentals of deep learning with MIT's intensive bootcamp, covering cutting-edge topics in computer vision, natural language processing, and more. |
30 | Deep Learning for Self-Driving Cars | University Courses | Comprehensive exploration of deep learning techniques and their application to autonomous vehicle development. Gain practical experience and in-depth knowledge in this cutting-edge field. |
31 | 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. |
32 | 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. |
33 | Deep Learning Course | University Courses | Comprehensive course on deep learning, covering fundamental concepts, neural network architectures, and hands-on implementation. Taught by experienced instructor from New York University. |
34 | Intro to Deep Learning & Generative Models | University Courses | Comprehensive course on deep learning fundamentals, generative models like VAEs and GANs, with hands-on tutorials using TensorFlow and PyTorch. |
35 | Deep Learning for Computer Vision | University Courses | Comprehensive course on deep learning techniques for computer vision, taught by renowned expert Andrej Karpathy. Covers image classification, object detection, and more. |
36 | Designing, Visualizing & Understanding Deep Neural Networks | University Courses | Explore the design principles, visualization tools, and theoretical understanding of deep neural networks in this comprehensive course. Ideal for students interested in AI, computer vision, and natural language processing. |
37 | 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. |
38 | Deep Learning | University Courses | Learn top machine learning techniques, including linear regression and supervised learning, with hands-on implementation experience. Taught by experienced instructors from Stanford University. |
39 | 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. |
40 | 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. |
41 | Applied Deep Learning 2022 | University Courses | Comprehensive introduction to applied deep learning, covering the latest techniques and best practices. Hands-on experience in implementing and deploying deep learning models for real-world applications. |
42 | Deep Learning | University Courses | Comprehensive deep learning course from UC Berkeley covering neural networks, optimization, and real-world applications. Hands-on coding and experienced instructors. |
43 | Full Stack DL Bootcamp 2019 | University Courses | Comprehensive bootcamp covering the full stack of deep learning, from fundamentals to state-of-the-art models. Hands-on experience in building and deploying real-world deep learning applications. |
44 | Deep Learning | University Courses | Comprehensive introduction to deep learning, covering fundamental concepts, advanced topics, and hands-on exercises using popular frameworks like TensorFlow and PyTorch. |
45 | Deep Learning for Computer Vision | University Courses | Comprehensive course on deep learning for computer vision, covering CNN, RNN, GAN, and state-of-the-art models for image and video analysis. |
46 | Deep Learning for Artificial Intelligence | University Courses | Comprehensive course on deep learning principles, techniques, and real-world applications in AI, offered by Universitat Politècnica de Catalunya (UPC) in Barcelona. |
47 | Deep Learning: CS 182 | University Courses | Dive into the fundamentals of deep learning with this in-depth course, covering neural networks, optimization, and real-world applications in computer vision, NLP, and more. |
48 | Deep Unsupervised Learning | University Courses | Explore the latest developments in deep unsupervised learning, including GANs, VAEs, and more. Hands-on implementation and application of cutting-edge techniques. |
49 | Deep Unsupervised Learning | University Courses | Comprehensive exploration of deep learning techniques for unsupervised learning, including generative models, representation learning, and reinforcement learning. Hands-on experience and exposure to cutting-edge research. |
50 | Nvidia Machine Learning Class | University Courses | Comprehensive Nvidia Machine Learning Class covering supervised, unsupervised learning, deep learning, and more. Presented by experienced experts with real-world examples. |
51 | Deep Unsupervised Learning | University Courses | Explore cutting-edge deep learning techniques in generative models and self-supervised learning. Taught by renowned instructors at UC Berkeley. |
52 | Advanced Introduction to Machine Learning | University Courses | Comprehensive and in-depth exploration of fundamental machine learning concepts and techniques, including deep learning, clustering, kernel machines, and graphical models. |
53 | Deep Reinforcement Learning & Control | University Courses | Explore the latest advancements in deep reinforcement learning with this comprehensive course by leading expert Katerina Fragkiadaki. Gain hands-on experience and tackle complex decision-making problems. |
54 | Introduction to Machine Learning | University Courses | Comprehensive machine learning course from leading experts at ETH Zurich. Covers fundamentals, algorithms, and real-world applications. Free online video lectures. |
55 | Efficient Machine Learning | University Courses | Explore the latest advancements in efficient machine learning techniques at the MIT 6.5940 EfficientML.ai Lecture, Fall 2023. Learn from industry experts and gain insights into optimizing AI solutions. |
56 | Machine Learning Course | University Courses | Comprehensive machine learning course taught by renowned expert Nando de Freitas at the University of British Columbia (UBC). Covers supervised, unsupervised, deep, and reinforcement learning. |
57 | Advanced Machine Learning | University Courses | Explore the latest advancements in machine learning, including deep learning, Gaussian process regression, Bayesian optimization, and more, taught by an experienced professor at the Chennai Mathematical Institute. |
58 | PURDUE Machine Learning Summer School 2011 | University Courses | Comprehensive course covering supervised, unsupervised, deep, and reinforcement learning, taught by experienced Purdue University instructors. Hands-on exercises and access to valuable resources. |
59 | Introduction to Machine Learning | University Courses | Comprehensive course on machine learning fundamentals, including supervised, unsupervised, deep learning, and reinforcement learning. Taught by experts from Stanford. |
60 | Deep Multi-Task & Meta Learning | University Courses | Explore state-of-the-art multi-task learning and meta-learning algorithms in this graduate-level Stanford course, with a focus on coding problems and a course project. |
61 | Deep Multi-Task & Meta Learning I | University Courses | Explore state-of-the-art multi-task learning and meta-learning algorithms in this graduate-level course, preparing you for research in deep learning. |
62 | Machine Learning | University Courses | Comprehensive machine learning course from renowned professors at UC Berkeley, covering fundamental algorithms, deep learning models, and real-world applications. |
63 | Deep Reinforcement Learning | University Courses | Dive into the latest advancements in deep reinforcement learning with hands-on experience and expert guidance from UC Berkeley's CS 285 course. |
64 | Advanced Deep Learning | University Courses | Expand your knowledge of deep learning and reinforcement learning with this comprehensive course taught by renowned experts from University College London. |
65 | Machine Learning | University Courses | Comprehensive coverage of machine learning algorithms and techniques, hands-on experience with real-world datasets and projects, taught by an expert in the field, Bert Huang. |
66 | Mediterranean Machine Learning Summer School 2023 | University Courses | Comprehensive machine learning program with hands-on workshops, expert instruction, and networking opportunities in a scenic Mediterranean location. |
67 | Microsoft Research | University Courses | Explore the comprehensive Microsoft Research machine learning course, covering supervised, unsupervised, deep, and reinforcement learning techniques. Presented by leading experts. |
68 | Advanced Introduction to Machine Learning | University Courses | Comprehensive coverage of advanced machine learning concepts and algorithms, hands-on experience with real-world projects, and exposure to the latest advancements in deep learning and reinforcement learning. |
69 | Deep Reinforcement Learning | University Courses | Comprehensive course on deep reinforcement learning, taught by a leading expert. Hands-on assignments and projects to apply the concepts. |
70 | Deep Reinforcement Learning Bootcamp | University Courses | Comprehensive deep RL course led by renowned experts from Berkeley, covering Markov Decision Processes, DQN, policy gradients, and more. Hands-on demos and code examples. |
71 | Deep Learning for Natural Language Processing | University Courses | Explore the latest advancements in deep learning for natural language processing, including speech recognition, language translation, and text analysis. Gain practical experience in implementing these cutting-edge techniques. |
72 | Natural Language Processing with Deep Learning | University Courses | Gain a thorough introduction to cutting-edge neural networks for natural language processing and the latest advancements in large language models. |
73 | Recent Advances on Foundation Models | University Courses | Explore the latest developments in foundation models, a powerful machine learning technology, through this graduate-level course at the University of Waterloo. |
74 | Autonomous Vehicle System Engineering | University Courses | Comprehensive course on autonomous vehicle design, covering deep learning, computer vision, and control theory. Hands-on projects and simulations for practical experience. |
75 | DeepRob Winter 2023 | University Courses | Comprehensive course on deep learning and its applications in robotics, offered by the University of Michigan on YouTube. Covers the latest advancements and provides hands-on experience. |
76 | Speech Recognition and Understanding | University Courses | Comprehensive introduction to speech recognition and understanding, covering theoretical foundations and practical applications. Taught by Prof. Shinji Watanabe. |
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