Big data

Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras

Rajalingappaa Shanmugamani

Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks

Karthiek Reddy Bokka, Shubhangi Hora, Tanuj Jain,...

Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Vitor Cerqueira, Luís Roque

Deep learning i modelowanie generatywne. Jak nauczyć komputer malowania, pisania, komponowania i grania

David Foster

Deep Learning. Praca z językiem Python i biblioteką Keras

Francois Chollet

Deep Learning. Praca z językiem R i biblioteką Keras

Francois Chollet, J. J. Allaire

Deep Learning. Praktyczne wprowadzenie

Josh Patterson, Adam Gibson

Deep Learning Quick Reference. Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Mike Bernico

Deep Learning. Receptury

Douwe Osinga

Deep Learning. Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe

Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter...

Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning

Mark Ryan

Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data

Dipayan Dev

Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python

Antonio Gulli, Sujit Pal

Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework

Willem Meints

Deep Learning with MXNet Cookbook. Discover an extensive collection of recipes for creating and implementing AI models on MXNet

Andrés P. Torres, Paul Newman

Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch

Vishnu Subramanian