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Nov 9, 2020 · In this article, we provide an overview of how deep learning fits into this realm and also discuss some of its applications and challenges.
MIT's introductory program on deep learning methods with applications to natural language processing, computer vision, biology, and more!
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This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them to the use of deep learning in such areas of artificial intelligence as computer vision, natural-language processing, and reinforcement learning.
Deep Learning is aa type of Machine Learning built upon multi-layered Artificial Neural Networks. A simple ANN with interconnected nodes.
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This workshop will provide an introduction to deep learning and its applications. Attendees will learn about different types of neural networks such as ...
This course introduces the fundamentals of machine learning techniques on meshes. We start with a short introduction of machine learning on regular structures.
Deep learning allows automatically learning multiple levels of representations of the underlying distribution of the data to be modeled.
Mar 18, 2024 · Deep learning is a subfield of machine learning that deals with algorithms inspired by the structure and function of the brain.
Jan 18, 2023 · The lecture will provide a couple of case studies of deep learning applied to economic data. We will then turn to an overview of neural networks ...
Jan 22, 2022 · In this paper, we present a survey of the application of deep learning techniques in NLP, with a focus on the various tasks where deep learning is ...