"With the recent explosion of deep learning and AI as a research topic, and the quickly growing importance of AI applications, a modern textbook on the topic was badly needed. The "New Bishop" masterfully fills the gap, covering algorithms for supervised and unsupervised learning, modern deep l...
Recently, machine learning (ML) has become very widespread in research and has been incorporated in a variety of applications, including text mining, spam detection, video recommendation, image classification, and multimedia concept retrieval [1,2,3,4,5,6]. Among the different ML algorithms, dee...
This post is the first in a series I’ll be writing for Parallel Forall that aims to provide an intuitive and gentle introduction to deep learning. It covers the most important deep learning concepts and aims to provide an understanding of each concept rather than its mathematical and ...
In the backward pass, the weights of connections are tuned by minimizing the difference between the predicted and the real data. Basic concepts Activation functions Activation functions form the non-linear layers in all deep learning frameworks; and their combinations with other layers are used to ...
强烈推荐由GoogleResearch,BrainTeam和Harvard University于2023年1月发布的Deep Learning 炼丹秘笈-《Deep ...
Today, we will learn the basic concepts of deep learning and how the technical world is rapidly changing because of the innovations in deep learning. We will discuss the introduction and history of deep learning and how it has evolved with time. After that, we will discuss some important fiel...
Learn what deep learning in ML & its subset inspired by the human brain. Understand its definition, the working, and its applications in the real world.
learning, which involves a hierarchy of features or concepts where higher-level representations of them are defined from lower-level ones and where the same lower-level representations help to define higher-level ones. In Chapter 2, a brief historical account of deep learning is presented. In ...
This article reviews the key concepts of deep learning for clinical radiologists, discusses ... G Chartrand,PM Cheng,E Vorontsov,... - 《Radiographics》 被引量: 37发表: 2017年 Privacy, Trust and Identity in Pervasive Computing: A Review of Technical Challenges and Future Research Directions ...