A Selective Overview of Deep Learning
3Technical TutorialsDeep LearningMachine LearningNeural Networks
Comprehensive overview of key concepts and recent advancements in deep learning, covering neural network models, training techniques, and theoretical foundations.
Deep Multi-Task and Meta Learning | Comprehensive Guide
10Video CoursesDeep LearningMachine Learning
In-depth understanding of state-of-the-art multi-task learning and meta-learning algorithms for few-shot learning, transfer learning, and lifelong learning.
Deep Learning Fundamentals | Neural Networks, Machine Learning
29Video CoursesDeep LearningMachine Learning
Introductory book on deep learning fundamentals, covering neural networks, convolutional neural networks, recurrent nets, autoencoders, and deep learning use cases.
Machine Learning Specialization | AI, Machine Learning Fundamentals
10Video CoursesData ScienceDeep LearningMachine Learning
Foundational online program on machine learning and AI applications, taught by Andrew Ng of DeepLearning.AI and Stanford Online.
Deep Learning for Natural Language Processing | University of Oxford
18University CoursesDeep LearningMachine LearningNatural Language Processing
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.
Tensorflow for Deep Learning Research | Stanford University
18University CoursesDeep LearningMachine LearningTensorFlow
Learn the fundamentals of TensorFlow for deep learning research. Build models for tasks like word embeddings, translation, and optical character recognition.
Introduction to Machine Learning | UC Berkeley CS 189 Course
14University CoursesDeep LearningMachine Learning
Comprehensive machine learning course covering theoretical foundations, algorithms, and practical applications. Suitable for students with math and computer science background.
Deep Learning for Natural Language Processing | Stanford University
6University CoursesDeep LearningMachine LearningNatural Language Processing
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.
Convolutional Neural Networks for Visual Recognition | Stanford University
12University CoursesDeep LearningMachine Learning
Learn to implement, train and debug your own neural networks for computer vision and deep learning applications.