Deep Learning for Computer Vision with Python, Volume 1

Main
Computers - Algorithms and Data Structures
Deep Learning for Computer Vision with...

Deep Learning for Computer Vision with Python, Volume 1

Adrian Rosebrock

5.0 / 5.0

Насколько вам понравилась эта книга?

Какого качества скаченный файл?

Скачайте книгу, чтобы оценить ее качество

Какого качества скаченные файлы?

Категории:

Computers - Algorithms and Data Structures

Том:

1,Starter Bundle

Год:

2017

Издание:

1.1.0

Издательство:

PyImageSearch

Язык:

english

Страницы:

332

ISBN 10:

1848829345

ISBN 13:

9781848829343

Файл:

PDF, 26.44 MB

IPFS:

,

english, 2017

Скачивание этой книги недоступно по жалобе правообладателя

Beware of he who would deny you access to information, for in his heart he dreams himself your master

— Pravin Lal

Вас может заинтересовать

Rosebrock, Adrian — Deep Learning for Computer Vision with Python — Starter Bundle

Jason Brownlee — Deep Learning for Computer Vision - Image Classification, Object Detection and Face Recognition in Python

Adrian Rosebrock — Case Studies (Practical Python and OpenCV)

LazyProgrammer — Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python)

Adrian Rosebrock — Practical Python and OpenCV

Adrian Rosebrock — Practical Python and OpenCV, 3rd Edition + Case studies

Adrian Rosebrock — Deep Learning for Computer Vision with Python, Volume 2

Adrian Rosebrock — Deep Learning for Computer Vision with Python, Volume 3

Jason Brownlee — Deep Learning with Python: Develop Deep Learning Models on Theano and TensorFLow Using Keras

Adrian Rosebrock — Practical Python and OpenCV

Jason Brownlee — Machine Learning Mastery with Python: Understand Your Data, Create Accurate Models and Work Projects End-To-End

Jason Brownlee — Statistical Methods for Machine Learning: Discover How to Transform Data into Knowledge with Python

Jason Brownlee — Deep Learning for Time Series Forecasting: Predict the Future with MLPs, CNNs and LSTMs in Python

Jason Brownlee — Generative Adversarial Networks with Python: Deep Learning Generative Models for Image Synthesis and Image Translation

Jason Brownlee — Deep Learning for Time Series Forecasting - Predict the Future with MLPs, CNNs and LSTMs in Python

Ian Goodfellow, Yoshua Bengio, Aaron Courville — Deep Learning

Eugene Charniak — Introduction to Deep Learning

Adrian Rosebrock — OCR with OpenCV, Tesseract, and Python - Intro to OCR

Mahmoud Hassaballah, Ali Ismail Awad — Deep learning in computer vision: principles and applications

Jan Erik Solem — Programming Computer Vision with Python: Tools and algorithms for analyzing images

Justin Solomon — Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics

J. Patterson, A. Gibson — Deep Learning: A Practitioner's Approach

Adrian Kaehler, Gary Bradski — Learning OpenCV 3: Computer vision in C++ with the OpenCV library

Tom Hope, Yehezkel S. Resheff, Itay Lieder — Learning TensorFlow

Anirudh Koul, Siddha Ganju, Meher Kasam — Practical Deep Learning for Cloud and Mobile

Ankur A. Patel — Hands-On Unsupervised Learning Using Python

David Foster — Generative Deep Learning

Jason M. Kinser — Image Operators: Image Processing in Python

Jeff Heaton — Artificial Intelligence for Humans, Volume 3

Eli Stevens, Luca Antiga, Thomas Viehmann — Deep Learning With Pytorch

Mohamed Elgendy — Deep Learning for Vision Systems

Abhinav Dadhich — Practical Computer Vision: Extract insightful information from images using TensorFlow, Keras, and OpenCV

Prateek Joshi — OpenCV with Python By Example: Build real-world computer vision applications and develop cool demos using OpenCV for Python

Joseph Howse, Prateek Joshi, Michael Beyeler — Opencv: Computer Vision Projects with Python

Rajalingappaa Shanmugamani — Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Manpreet Singh Ghotra, Rajdeep Dua — Neural Network Programming with TensorFlow

Adrian Rosebrock — Deep Learning for Computer Vision with Python

Andriy Burkov — The Hundred-page Machine Learning Book

Narasimha Karumanchi — Data Structure and Algorithmic Thinking with Python Data Structure and Algorithmic Puzzles

Jason Brownlee — Better Deep Learning: Train Faster, Reduce Overfitting, and Make Better Predictions

Jason Brownlee — Better Deep Learning: Train Faster, Reduce Overfitting, and Make Better Predictions

Jesús Martínez — TensorFlow 2.0 Computer Vision Cookbook:Implement machine learning solutions to overcome various computer vision challenges

Ключевые слова

Связанные Подборки