Deep Learning for Computer Vision - Image Classification,...

Main
Computers - Artificial Intelligence (AI)
Deep Learning for Computer Vision -...

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

Jason Brownlee

5.0 / 5.0

Sukakah Anda buku ini?

Bagaimana kualitas file yang diunduh?

Unduh buku untuk menilai kualitasnya

Bagaimana kualitas file yang diunduh?

Kategori:

Computers - Artificial Intelligence (AI)

Tahun:

2019

Edisi:

v1.4

Penerbit:

Machine Learning Mastery

Bahasa:

english

Halaman:

563

File:

PDF, 10.28 MB

IPFS:

,

english, 2019

Mengunduh (pdf, 10.28 MB)

Pengubahan menjadi sedang diproses

Pengubahan menjadi gagal

Mungkin Anda tertarik

Jason Brownlee — Probability for Machine Learning - Discover How To Harness Uncertainty With Python

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

Jason Brownlee — Data Preparation for Machine Learning - Data Cleaning, Feature Selection, and Data Transforms in Python

Jason Brownlee — Master Machine Learning Algorithms - Discover How They Work And Implement Them From Scratch

Jason Brownlee — Introduction to Time Series Forecasting with Python: How to Prepare Data and Develop Models to Predict the Future (Version 1.9)

Jason Brownlee — Machine learning mastery with Weka

Jason Brownlee — Ensemble Machine Learning With Python: 7-Day Mini-Course

Jason Brownlee — Basics For Linear Algebra For Machine Learning, Discover The Mathematical Language Of Data In Python

Jason Brownlee — Deep Learning with Python (Theano, TensorFlow, Keras): Develop Deep Learning Models on Theano and TensorFlow Using Keras

Jason Brownlee — Machine Learning Mastery with R: Get Started, Build Accurate Models and Work Through Projects Step-by-Step

Adrian Rosebrock — Practical Python and OpenCV

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

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

Jason Brownlee — Long Short-Term Memory Networks With Python: Develop Sequence Prediction Models With Deep Learning

Jason Brownlee — Data Preparation for Machine Learning: Data Cleaning, Feature Selection, and Data Transforms in Python

Jason Brownlee — Deep Learning for Natural Language Processing: Develop Deep Learning Models for Natural Language in Python

Harrison Kinsley, Daniel Kukieła — Neural Networks from Scratch in Python

Ravishankar Chityala, Sridevi Pudipeddi — Image Processing and Acquisition using Python (Chapman & Hall/CRC The Python Series)

J. R. Parker — Algorithms for image processing and computer vision

Boguslaw Cyganek(auth.) — Object Detection and Recognition in Digital Images: Theory and Practice

Valliappa Lakshmanan, Martin Görner, Ryan Gillard — Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images

Dr Simon J. D. Prince — Computer Vision: Models, Learning, and Inference

Kenneth Dawson-Howe — A Practical Introduction to Computer Vision with OpenCV

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

Ragav Venkatesan, Baoxin Li — Convolutional Neural Networks in Visual Computing: A Concise Guide

Jason Brownlee — Clever Algorithms: Nature-Inspired Programming Recipes

Jason Brownlee — Machine Learning Mastery with R

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

Asit Kumar Datta, Madhura Datta, Pradipta Kumar Banerjee — Face Detection and Recognition: Theory and Practice

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

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

Bharath Ramsundar, Peter Eastman, Patrick Walters, Vijay Pande — Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More

Seth Weidman — Deep Learning from Scratch

Ian Pointer — Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications

Sylvain Gugger, Jeremy Howard — Deep Learning for Coders with Fastai and PyTorch

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

Istilah kunci

Daftar buku terkait