Suchergebnisse - Machine Learning with Python Cookbook

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1081

Hands-On Reinforcement Learning for Games

Lanham, Micheal (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2020

E-Book

1082

Mastering Python : Write powerful and efficient code using the full range of Python's capabilities

Hattem, Rick van (Verfasser)

2. Auflage

Birmingham : Packt Publishing Limited, 2022

E-Book

1083

Hands-On Mathematics for Deep Learning

Dawani, Jay (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2020

E-Book

1084

Exam Ref DP-100 : designing and implementing a data science solution on Azure

Sorvisto, Dayne (Verfasser)

[First edition]

Hoboken, New Jersey : Pearson Education, 2025

E-Book

1085

Advanced analytics with Spark

Ryza, Sandy (Verfasser)

Beijing ; Boston ; Farnham ; Sebastopol ; Tokyo : O'Reilly, April 2015

Buch

1086

Deep Learning with TensorFlow 2 and Keras : Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API

Gullì, Antonio (Verfasser)

2. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

1087

Hands-On Computer Vision with TensorFlow 2 : Leverage deep learning to create powerful image processing apps with TensorFlow 2

Planche, Benjamin (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

1088

Hands-On Deep Learning for Games

Lanham, Micheal (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2019

E-Book

1089

Artificial intelligence for robotics : build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks

Govers, Francis X. (Verfasser)

Second edition

Birmingham, UK : Packt Publishing Ltd., 2024

E-Book

1090

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

Meints, Willem (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

1091

Deep Reinforcement Learning and GANs: : Advanced Topics in Deep Learning

Krohn, Jon (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional, 2018

Film

1092

The Deep Learning Workshop : Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras

Baig, Mirza Rahim (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2020

E-Book

1093

Neural Search - From Prototype to Production with Jina : Build deep learning- powered search systems that you can deploy and manage with ease

Wang, Bo (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2022

E-Book

1094

Hands-On Neural Networks : Learn how to build and train your first neural network model using Python

De Marchi, Leonardo (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

1095

Keras Reinforcement Learning Projects : 9 projects exploring popular reinforcement learning techniques to build self-learning agents

Ciaburro, Giuseppe (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2018

E-Book

1096

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

Reddy Bokka, Karthiek (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

1097

Natural Language Processing mit PyTorch : intelligente Sprachanwendungen mit Deep Learning erstellen

Rao, Delip (Verfasser)

Deutsche Ausgabe, 1. Auflage

Heidelberg : O'Reilly, 2020

Buch

1098

APPLIED DEEP LEARNING ON GRAPHS : leverage graph data for business applications using specialized deep learning architectures

Khandelwal, Lakshya (Verfasser)

1st edition

Birmingham, UK : Packt Publishing Ltd., 2024

E-Book

1099

Applied Deep Learning on Graphs : Leverage graph data for business applications using specialized deep learning architectures

Khandelwal, Lakshya (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2024

E-Book

1100

Recommender systems : an applied approach using deep learning.

[First edition]

[Place of publication not identified] : Packt Publishing, 2023

Film

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