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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.

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 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 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 tfkeras api in this book, we will use the tfkeras api

Basic classification classify images of clothing tensorflow this guide trains a neural network model to classify images of clothing, like sneakers and shirts its okay if you dont understand all the details this is a fastpaced overview of a complete tensorflow program with the details explained as you go this guide uses tfkeras, a highlevel api to Book deep learning for computer vision expert techniques compralo en mercado libre a 7961,00 comprá en 12 cuotas envío gratis encontrá más productos de libros, revistas y comics, libros 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 20 and keras benjamin planche 43 out of 5 stars 15 kindle edition

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: 12 MB
  
• Tipos de archivo: PDF Document
  
• Idioma: Español
  
• Archivos de estado: AVAILABLE
  

LIBRO Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras de Rajalingappaa Shanmugamani PDF ePub

Learning tensorflow a guide to building deep learning once you finish this book, youll know how to build and deploy productionready 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 Keras the python deep learning api keras is the most used deep learning framework among top5 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 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

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 indepth bundle and is for readers who want to train largescale deep neural networks 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 Learning tensorflow a guide to building deep learning that said, i agree that this book needed more contextualization i dont think anyone trying to learn tensorflow is going to be unfamiliar with deep learning, but when youre talking about neural networks and modeling and such, maybe a bit more depth on what works where and why would be in order

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