You're reading from Deep Learning with TensorFlow and Keras – 3rd edition - Third Edition

Product typeBook

Published inOct 2022

PublisherPackt

ISBN-139781803232911

Edition3rd Edition

Concepts

Deep Learning

Authors (3):

Amita Kapoor

Antonio Gulli

Sujit Pal

View More author details

Index

accuracy 13

action 391

action-value function 392

activation functions 9, 478

ReLU 479

sigmoid 478

tanh 479

ALBERT 214

key intuitions 214

aleatory uncertainty 438

probabilistic neural networks 441, 442

probabilistic neural networks, using 440

AlexNet 95

Android Studio

reference link 589

Application-Specific Integrated Circuit (ASIC) 501

Arduino Nano 33 BLE Sense

reference link 587

Area Under the Curve (AUC) 458, 549

Area Under the Receiver Operating Characteristic Curve (AUC ROC) 458

Arm Cortex-M

reference link 587

Artificial General Intelligence (AGI) 445

artificial neural networks (nets/ANNs) 3

atrous convolution

using, for audio 635

Attention mechanism 182-184, 195-197

computing 198, 199

full, versus sparse matrices 206

local attention 206

LSH Attention 206

seq2seq model, using with 184-189

Augmented Multiscale Deep InfoMax (AMDIM) 380

autoencoders...

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Authors (3)

Amita Kapoor

Amita Kapoor is an accomplished AI consultant and educator, with over 25 years of experience. She has received international recognition for her work, including the DAAD fellowship and the Intel Developer Mesh AI Innovator Award. She is a highly respected scholar in her field, with over 100 research papers and several best-selling books on deep learning and AI. After teaching for 25 years at the University of Delhi, Amita took early retirement and turned her focus to democratizing AI education. She currently serves as a member of the Board of Directors for the non-profit Neuromatch Academy, fostering greater accessibility to knowledge and resources in the field. Following her retirement, Amita also founded NePeur, a company that provides data analytics and AI consultancy services. In addition, she shares her expertise with a global audience by teaching online classes on data science and AI at the University of Oxford.
Read more about Amita Kapoor

Antonio Gulli

Antonio Gulli has a passion for establishing and managing global technological talent for innovation and execution. His core expertise is in cloud computing, deep learning, and search engines. Currently, Antonio works for Google in the Cloud Office of the CTO in Zurich, working on Search, Cloud Infra, Sovereignty, and Conversational AI.
Read more about Antonio Gulli

Sujit Pal

Sujit Pal is a Technology Research Director at Elsevier Labs, an advanced technology group within the Reed-Elsevier Group of companies. His interests include semantic search, natural language processing, machine learning, and deep learning. At Elsevier, he has worked on several initiatives involving search quality measurement and improvement, image classification and duplicate detection, and annotation and ontology development for medical and scientific corpora.
Read more about Sujit Pal

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