Gratis Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras de Rajalingappaa Shanmugamani PDF [ePub Mobi] Gratis, Descargar Gratis Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras Spanish Edition
Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras de Rajalingappaa Shanmugamani
Descripción - Reseña del editor Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasksKey FeaturesTrain different kinds of deep learning model from scratch to solve specific problems in Computer VisionCombine the power of Python, Keras, and TensorFlow to build deep learning models for object detection, image classification, similarity learning, image captioning, and moreIncludes tips on optimizing and improving the performance of your models under various constraintsBook DescriptionDeep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous applications in the areas of robotics, automation, and so on. This book will also show you, with practical examples, how to develop Computer Vision applications by leveraging the power of deep learning. In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation.What you will learnSet up an environment for deep learning with Python, TensorFlow, and KerasDefine and train a model for image and video classificationUse features from a pre-trained Convolutional Neural Network model for image retrievalUnderstand and implement object detection using the real-world Pedestrian Detection scenarioLearn about various problems in image captioning and how to overcome them by training images and text togetherImplement similarity matching and train a model for face recognitionUnderstand the concept of generative models and use them for image generationDeploy your deep learning models and optimize them for high performanceWho This Book Is ForThis book is targeted at data scientists and Computer Vision practitioners who wish to apply the concepts of Deep Learning to overcome any problem related to Computer Vision. A basic knowledge of programming in Python-and some understanding of machine learning concepts-is required to get the best out of this book.Table of ContentsIntroduction to Deep LearningImage ClassificationImage RetrievalObject DetectionSemantic SegmentationSimilarity LearningGenerative ModelsImage CaptioningVideo ClassificationDeployment Biografía del autor Rajalingappaa Shanmugamani is currently working as a Deep Learning Lead at SAP, Singapore. Previously, he has worked and consulted at various startups for developing computer vision products. He has a Masters from Indian Institute of Technology - Madras where his thesis was based on applications of computer vision in the manufacturing industry. He has published articles in peer-reviewed journals and conferences and applied for few patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.
Detalles del Libro
- Name: Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras
- Autor: Rajalingappaa Shanmugamani
- Categoria: Libros,Libros universitarios y de estudios superiores,Ciencias informáticas
- Tamaño del archivo: 13 MB
- Tipos de archivo: PDF Document
- Descargada: 714 times
- Idioma: Español
- Archivos de estado: AVAILABLE
Descargar Ebook Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras de Rajalingappaa Shanmugamani PDF [ePub Mobi] Gratis
Deep Learning for Computer Vision - Rajalingappa ~ Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras. Rajalingappaa Shanmugamani BIRMINGHAM . Keras can be installed separately or used within TensorFlow itself using the tf.keras API. In this book, we will use the tf.keras API.
Deep Learning for Computer Vision: Expert techniques to ~ Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras (English Edition) eBook: Shanmugamani, Rajalingappaa: .mx: Tienda Kindle
Deep Learning for Computer Vision: Shanmugamani ~ Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasksKey FeaturesTrain different kinds of deep learning model from scratch to solve specific problems in Computer VisionCombine the power of Python, Keras, and TensorFlow to build deep learning models for object detection, image classification, similarity learning, image captioning, and moreIncludes .
Deep Learning for Computer Vision with Python: Master Deep ~ Deep Learning for Computer Vision with Python will make you an expert in deep learning for computer vision and visual recognition tasks. . To demonstrate advanced deep learning techniques in action, . The ImageNet Bundle is the most in-depth bundle and is for readers who want to train large-scale deep neural networks.
Book : Deep Learning For Computer Vision Expert Techniques ~ Compralo en Mercado Libre a $ 7.961,00 - Comprá en 12 cuotas - Envío gratis. Encontrá más productos de Libros, Revistas y Comics, Libros.
Learning TensorFlow: A Guide to Building Deep Learning ~ Learning TensorFlow: A Guide to Building Deep Learning Systems eBook: Hope, Tom, Resheff, Yehezkel S., Lieder, Itay: .ca: Kindle Store
: Machine Learning for OpenCV: Intelligent image ~ Understand deep learning for computer vision with Python; . Expert techniques to train advanced neural networks using TensorFlow and Keras . Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras Benjamin Planche. 4.3 out of 5 stars 15. Kindle Edition.
Learning TensorFlow: A Guide to Building Deep Learning ~ That said, I agree that this book needed more contextualization. I don't think anyone trying to learn TensorFlow is going to be unfamiliar with deep learning, but when you're talking about neural networks and modeling and such, maybe a bit more depth on what works where and why would be in order.
Keras: the Python deep learning API ~ Keras is the most used deep learning framework among top-5 winning teams on Kaggle. Because Keras makes it easier to run new experiments, it empowers you to try more ideas than your competition, faster. And this is how you win.
Basic classification: Classify images of clothing - TensorFlow ~ This guide trains a neural network model to classify images of clothing, like sneakers and shirts. It's okay if you don't understand all the details; this is a fast-paced overview of a complete TensorFlow program with the details explained as you go. This guide uses tf.keras, a high-level API to .
Learning TensorFlow: A Guide to Building Deep Learning ~ Once you finish this book, you’ll know how to build and deploy production-ready deep learning systems in TensorFlow. Get up and running with TensorFlow, rapidly and painlessly; Learn how to use TensorFlow to build deep learning models from the ground up; Train popular deep learning models for computer vision and NLP
Data Analysis Using SQL and Excel (English Edition ~ Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras Precio : 35,34 € Los precios pueden variar. En stock.
Deep Learning with TensorFlow 2 and Keras: Regression ~ Deep Learning with TensorFlow 2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You’ll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available.
16 mejores imágenes de Novedades INFORMÁTICA / Libros de ~ Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras [Shanmugamani, Rajalingappaa] on . *FREE* shipping on qualifying offers. Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras
Hands-On Deep Learning for Images with TensorFlow ~ Build intelligent computer vision applications using TensorFlow and Keras. Author: Will Ballard. Publisher: Packt Publishing Ltd ISBN: 1789532515 Category: Computers Page: 96 View: 9659 DOWNLOAD NOW » Explore TensorFlow's capabilities to perform efficient deep learning on images Key Features Discover image processing for machine vision Build an effective image classification system using the .
Machine Learning for OpenCV: Intelligent image processing ~ Machine Learning for OpenCV: Intelligent image processing with Python eBook: Beyeler, Michael: .in: Kindle Store
Imagenet Bundle Deep Learning For Computer Vision With Python ~ ImageNet Bundle eBook, videos, source code, etc. Addressing Challenges in Deep Learning for Computer Vision Challenge Managing large sets of labeled images Resizing, Data augmentation Background in neural networks (deep learning) Computation intensive task (requires GPU) Solution imageSet or imageDataStore to handle large sets of images imresize, imcrop, imadjust, imageInputLayer, etc. Click .
Detecting COVID-19 in X-ray images with Keras, TensorFlow ~ This article is for readers who are interested in (1) Computer Vision/Deep Learning and want to learn via practical, hands-on methods and (2) are inspired by current events. I kindly ask that you treat it as such. To learn how you could detect COVID-19 in X-ray images by using Keras, TensorFlow, and Deep Learning, just keep reading!
.co.jp: Hands-On Deep Learning for Images with ~ .co.jp: Hands-On Deep Learning for Images with TensorFlow: Build intelligent computer vision applications using TensorFlow and Keras (English Edition) 電子書籍: Ballard, Will: Kindleストア
MATLAB for Deep Learning - MATLAB & Simulink ~ With just a few lines of MATLAB code, you can build deep learning models and perform deep learning tasks.
Mafijul Bhuiyan - Computer vision researcher - Huawei ~ Experienced in implementing and customizing different deep neural network architectures used in computer vision and natural language processing. Developed scientific software packages for solving data science machine learning problems in C, C++17, MATLAB, Python (SciPy/NumPy/OpenCV), Pytorch, and Keras.
Age Detection using Facial Images: traditional Machine ~ Two approaches: traditional Machine Learning vs. Deep Learning — Heeding to my instructor’s suggestion, I attempted to build a solution for this project using two separate approaches. Most of the resources I came across online dove straight into deep learning and neural networks to build solutions to this problem (which you may say should be the right approach anyway).
Faizan Ishfaq - Machine Learning and Computer Vision ~ • Development of Machine Learning/Computer Vision based intelligent solutions and prototypes. • Implementation of Deep Learning based models for computer vision problems. • Development of a real-time object tracking and activities recognition tool for automated surveillance system based on Python, OpenCV, Darknet-YOLO.