Deep Learning with R

DOI10.1007/978-981-13-5850-0zbMath1411.68002OpenAlexW4250037466MaRDI QIDQ4631602

Abhijit Ghatak

Publication date: 11 April 2019

Full work available at URL: https://doi.org/10.1007/978-981-13-5850-0

zbMATH Keywords

tensorflowkerasneural networksvariancebiasnatural language processingregularisationrecurrent neural networksmachine learningfeedforward neural networksgradient descentnetwork architectureover-fittingactivation functionconvolutional neural networksdeep learningback propagationunder-fittingvanishing gradientcross-entropy lossforward propagationlong short-term memory architecture

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Learning and adaptive systems in artificial intelligence (68T05) Software, source code, etc. for problems pertaining to computer science (68-04)

Related Items (1)

Modern Strategies for Time Series Regression

Uses Software

• R
• TensorFlow
• Keras
• DeepFace
• Adam
• GloVe

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