Suchergebnisse - Practical Computer Vision Applications Using Deep Learning with CNNs

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Practical Convolutional Neural Networks : Implement advanced deep learning models using Python

Sewak, Mohit (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2018

E-Book

Deep learning. Convolutional neural networks with TensorFlow

[First edition]

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

Film

Hands-On Graph Neural Networks Using Python : Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Labonne, Maxime (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2023

E-Book

Hands-On Neural Networks with Keras : Design and create neural networks using deep learning and artificial intelligence principles

Purkait, Niloy (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

Python Deep Learning Cookbook : Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python

Bakker, Indra den (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2017

E-Book

Introduction to Deep Learning Using R: : A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R

Beysolow, Taweh II (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Apress, 2017

E-Book

Keras 2.x Projects : 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras

Ciaburro, Giuseppe (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2018

E-Book

Deep learning CNN : convolutional neural networks with Python.

[First edition]

[Place of publication not identified] : Packt Publishing, 2022

Film

Building Machine Learning Systems with Python : Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow

Pedro Coelho, Luis (Verfasser)

3. Auflage

Birmingham : Packt Publishing Limited, 2018

E-Book

Codeless Deep Learning with KNIME : Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform

Melcher, Kathrin (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2020

E-Book

Deep Learning for Beginners : A beginner's guide to getting up and running with deep learning from scratch using Python

Rivas, Pablo (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2020

E-Book

Qt 5 and OpenCV 4 Computer Vision Projects : Get up to speed with cross-platform computer vision app development by building seven practical projects

Qingliang, Zhuo (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2019

E-Book

Learning OpenCV 4 Computer Vision with Python 3 : Get to grips with tools, techniques, and algorithms for computer vision and machine learning

Howse, Joseph (Verfasser)

3. Auflage

Birmingham : Packt Publishing Limited, 2020

E-Book

Deep Learning with TensorFlow and Keras : Build and deploy supervised, unsupervised, deep, and reinforcement learning models

Kapoor, Amita (Verfasser)

1. Auflage

Birmingham : Packt Publishing Limited, 2022

E-Book

Genomics at the nexus of AI, computer vision, and machine learning

Choudhary, Shilpa (Herausgeber)

Hoboken, NJ ; Beverly, MA : Scrivener Publishing LLC, 2024

E-Book

Hands-On Deep Learning for Images with TensorFlow

Ballard, Will (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2018

E-Book

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

Rao, Delip (Verfasser)

Deutsche Ausgabe, 1. Auflage

Heidelberg : O'Reilly, 2020

Buch

Deep learning with structured data

Ryan, Mark (Verfasser)

Video edition. - [First edition]

[Shelter Island, New York] : Manning Publications, 2021

Film

Programming PyTorch for Deep Learning

Pointer, Ian (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc., 2019

E-Book

100

Mastering Computer Vision with TensorFlow 2.x

Kar, Krishnendu (Verfasser)

1st edition

[Erscheinungsort nicht ermittelbar] : Packt Publishing, 2020

E-Book

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