https://en.wikipedia.org/wiki/Deep_learning
Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers in the network. Methods used can be either supervised, semi-supervised or unsupervised.

https://www.ibm.com/topics/deep-learning
Learn what deep learning is, how it differs from machine learning, and how it works. Explore IBM's deep learning solution and its applications in various domains.

https://www.coursera.org/articles/what-is-deep-learning
Learn about deep learning, a branch of machine learning that uses neural networks to process information like humans. Explore deep learning applications, skills, technologies, and careers with Coursera courses and certificates.

https://cloud.google.com/discover/what-is-deep-learning
Deep learning is a type of machine learning that uses artificial neural networks to learn from data. Learn how deep learning works, its benefits and challenges, and its applications in image recognition, natural language processing, finance, and more.

https://builtin.com/machine-learning/deep-learning
Learn what deep learning is, how it differs from machine learning, and how neural networks work. Explore the basics of deep learning, its applications, and its challenges with examples and videos.

https://www.coursera.org/ca/articles/what-is-deep-learning
Learn how deep learning mimics the human brain's neural networks to produce accurate predictions from large volumes of data. Explore the applications, skills, and careers in deep learning with Coursera's courses and certifications.

https://www.geeksforgeeks.org/introduction-deep-learning/
Learn the basics of deep learning, a branch of machine learning based on artificial neural networks. Explore the types, applications, and architectures of deep learning, and the difference between machine learning and deep learning.

https://www.nature.com/articles/nature14539
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically

https://www.datacamp.com/tutorial/tutorial-deep-learning-tutorial
Learn what deep learning is, how it works, and why it is important for artificial intelligence. Explore the core concepts, applications, and examples of deep learning with neural networks and activation functions.

https://www.deeplearningbook.org/
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free. The deep learning textbook can now be ordered on Amazon .

https://www.datacamp.com/blog/how-to-learn-deep-learning
Learn deep learning with DataCamp's 2024 guide, covering topics from basics to neural networks, with key applications and learning resources. Discover why, how, and how long it takes to master deep learning, and explore the best tools and packages for it.

https://graphics.stanford.edu/courses/cs468-17-spring/LectureSlides/L10%20-%20intro_to_deep_learning.pdf
What is Deep Learning? Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. Artificial Intelligence Machine Learning Deep Learning Deep Learning by Y. LeCun et al. Nature 2015. From Y. LeCun's Slides.

https://www.deeplearning.ai/
DeepLearning.AI offers courses, news, events, and insights on AI and machine learning from Andrew Ng and other leaders. Join over 7 million learners and get access to free resources, specializations, and certificates.

https://aws.amazon.com/what-is/deep-learning/
Learn what deep learning is, why it is important, and how it works. Explore the use cases, benefits, and components of deep learning in various fields and applications.

https://ocw.mit.edu/courses/6-s191-introduction-to-deep-learning-january-iap-2020/
Learn the basics of deep learning algorithms and applications in this online course from MIT. Build neural networks in TensorFlow and compete in a project proposal competition with industry feedback.

https://www.coursera.org/specializations/deep-learning
Learn the fundamentals of deep learning and break into AI with this five-course program from Andrew Ng and DeepLearning.AI. Build and train neural networks, apply them to various applications, and get career advice from experts.

https://www.datacamp.com/tutorial/machine-deep-learning
Learn the differences and similarities between deep learning and machine learning, two facets of artificial intelligence. Deep learning uses neural networks with multiple layers to analyze complex data, while machine learning covers various algorithms that learn from data without being explicitly programmed.

https://www.techtarget.com/searchenterpriseai/definition/deep-learning-deep-neural-network
Deep learning is a type of machine learning and artificial intelligence ( AI) that imitates the way humans gain certain types of knowledge. Deep learning models can be taught to perform classification tasks and recognize patterns in photos, text, audio and other various data.

https://www.cloudflare.com/learning/ai/what-is-deep-learning/
Deep learning is a powerful type of machine learning that can process unlabeled data and recognize patterns. Learn how deep learning differs from machine learning, how it uses neural networks, and how Cloudflare enables its construction and applications.

https://link.springer.com/article/10.1007/s42979-021-00815-1
This article provides a comprehensive view on deep learning (DL), a branch of machine learning and artificial intelligence, based on artificial neural networks. It covers DL techniques, taxonomy, applications and research directions for various domains and challenges.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372231/
Hybrid deep learning models are typically composed of multiple (two or more) deep basic learning models, where the basic model is a discriminative or generative deep learning model discussed earlier. Based on the integration of different basic generative or discriminative models, the below three categories of hybrid deep learning models might

https://www.geeksforgeeks.org/deep-learning-tutorial/
Learn everything about deep learning, a branch of machine learning based on artificial neural networks, with this comprehensive guide. It covers basic and advanced concepts, types of networks, applications, and examples with Python, PyTorch, and TensorFlow.

https://www.javatpoint.com/deep-learning
Learn the basics of deep learning, a branch of machine learning that mimics the human brain with neural networks. Explore the architectures, types, and applications of deep learning, such as self-driving cars, image recognition, and speech synthesis.