Pro deep learning with TensorFlow 2.0 : a mathematical approach to advanced artificial intelligence in Python By Santanu Pattanayak

By:

Pattanayak, Santanu

Material type: Text

TextPublication details: Apress, c2023.Edition: 2Description: i-xx+652PISBN:

9781484289303

Subject(s):

Big Data COMPUTERS General Computer Science Computing Methodologies Databases Intelligence artificielle Machine learning Programming & scripting languages: general Python TensorFlow (Electronic resource) artificial intelligence

DDC classification:

2 006.31 PAT-P

Contents:

Chapter 1: Mathematical Foundations Chapter 2: Introduction to Deep Learning Concepts and TensorFlow Chapter 3: Convolutional Neural Networks Chapter 4: Natural Language Processing Using Recursive Neural Networks Chapter 5: Unsupervised Learning with Restricted Boltzmann Machines and Auto Encoders Chapter 6: Advanced Neural Networks

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Computational Biology and Bioinformatics	Dept. of Computational Biology and Bioinformatics	006.31 PAT-P (Browse shelf(Opens below))	Checked out to SHEEBA K (DCBPDF20016)	14/08/2024	DCB4318

Chapter 1: Mathematical Foundations
Chapter 2: Introduction to Deep Learning Concepts and TensorFlow
Chapter 3: Convolutional Neural Networks
Chapter 4: Natural Language Processing Using Recursive Neural Networks
Chapter 5: Unsupervised Learning with Restricted Boltzmann Machines and Auto Encoders
Chapter 6: Advanced Neural Networks

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