[Télécharger] Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI and Computer-Vision Projects Using Python, Keras, and Tensorflow de Anirudh Koul,Siddha Ganju,Meher Kasam PDF Ebook En Ligne

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Auteur : Anirudh Koul,Siddha Ganju,Meher Kasam
Catégorie : Livres anglais et étrangers,Computers & Internet,Computer Science
Broché : * pages
Éditeur : *
Langue : Français, Anglais


Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use.Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow LiteDevelop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google CoralExplore fun projects, from Silicon Valley's Not Hotdog app to 40+ industry case studiesSimulate an autonomous car in a video game environment and build a miniature version with reinforcement learningUse transfer learning to train models in minutesDiscover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users

Télécharger Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI and Computer-Vision Projects Using Python, Keras, and Tensorflow de Anirudh Koul,Siddha Ganju,Meher Kasam livre En ligne


Practical Deep Learning for Cloud, Mobile, and Edge: Real ~ Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow / Anirudh Koul, Siddha Ganju, Meher Kasam / download / Z-Library. Download books for free. Find books

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Practical Deep Learning for Cloud, Mobile, and Edge Real ~ Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow, Practical Deep Learning for Cloud, Mobile, and Edge, Anirudh Koul, Siddha Ganju, Meher Kasam, O'reilly media. Des milliers de livres avec la livraison chez vous en 1 jour ou en magasin avec -5% de réduction .

Practical Deep Learning for Coders - Fast.ai ~ At fast.ai, we have written courses using most of the main deep learning and machine learning packages used today. We spent over a thousand hours testing PyTorch before deciding that we would use it for future courses, software development, and research. PyTorch is now the world's fastest-growing deep learning library and is already used for most research papers at top conferences.

TensorFlow Lite / ML for Mobile and Edge Devices ~ A deep learning framework for on-device inference. Train and deploy machine learning models on mobile and IoT devices, Android, iOS, Edge TPU, Raspberry Pi.

Deep Learning - microsoft ~ use of deep learning technology, such as speech recognition and computer vision; and (3) the application areas that have the potential to be impacted significantly by deep learning and that have been benefitting from recent research efforts, including natural language and text processing, information retrieval, and multimodal information processing empowered by multi-task deep learning. Deep .

Keras: the Python deep learning API ~ Keras is the most used deep learning framework among top-5 winning teams . Exascale machine learning. Built on top of TensorFlow 2.0, Keras is an industry-strength framework that can scale to large clusters of GPUs or an entire TPU pod. It's not only possible; it's easy. Deploy anywhere. Take advantage of the full deployment capabilities of the TensorFlow platform. You can export Keras .

GitHub - jtoy/awesome-tensorflow: TensorFlow - A curated ~ Deep Learning with Python - Develop Deep Learning Models on Theano and TensorFlow Using Keras by Jason Brownlee; TensorFlow for Machine Intelligence - Complete guide to use TensorFlow from the basics of graph computing, to deep learning models to using it in production environments - Bleeding Edge Press; Getting Started with TensorFlow - Get up and running with the latest numerical computing .

AI for Medicine by deeplearning.ai / Coursera ~ Finally, you’ll learn how to handle missing data, a key real-world challenge. These courses go beyond the foundations of deep learning to teach you the nuances in applying AI to medical use cases. This course focuses on tree-based machine learning, so a foundation in deep learning is not required for this course. However, a foundation in deep .

Python Programming Tutorials ~ An updated series to learn how to use Python, TensorFlow, and Keras to do deep learning. Suitable for ML beginner. Start. Practical Machine Learning with Python. Learn theory, real world application, and the inner workings of regression, classification, clustering, and deep learning. Start. Python Plays GTA V. Training Python how to play and do a self-driving car in Grand Theft Auto 5 through .

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DeepLearning.AI TensorFlow Developer Professional ~ Offered by DeepLearning.AI. TensorFlow is one of the most in-demand and popular open-source deep learning frameworks available today. The DeepLearning.AI TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models. In this hands-on, four-course Professional Certificate program, you’ll learn the .

Anaconda / Individual Edition ~ Search our cloud-based repository to find and install over 7,500 data science and machine learning packages. With the conda-install command, you can start using thousands of open-source Conda, R, Python and many other packages. Manage Environments. Individual Edition is an open source, flexible solution that provides the utilities to build, distribute, install, update, and manage software in a .

TensorFlow and Keras Projects for Beginners / Coursera ~ This is a curated collection of Guided Projects for aspiring machine learning engineers and data scientists. This collection will help you get started with deep learning using Keras API, and TensorFlow framework. TensorFlow is the one of most popular machine learning frameworks, and Keras is a high level API for deep learning which can be used with TensorFlow framework as its backend.In the .

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TensorFlow ~ TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.

Introduction to TensorFlow ~ TensorFlow makes it easy for beginners and experts to create machine learning models for desktop, mobile, web, and cloud.

GitHub - Gurupradeep/deeplearning.ai-Assignments ~ Deep Learning Specialisation. Instructor: Andrew Ng. This repository contains all the solutions of the programming assignments along with few output images. It also has some of the important papers which are referred during the course. NOTE : Use the solutions only for reference purpose :) This specialisation has five courses. Courses: Course 1: Neural Networks and Deep Learning. Learning .

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Manning / Deep Learning with Python ~ Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing .

AI & Data Science Solutions For Every Industry / NVIDIA ~ AI is powering change in every industry across the globe. As companies are increasingly data-driven, the demand for AI technology grows. From speech recognition and recommender systems to medical imaging and improved supply chain management, AI technology is providing enterprises the compute power, tools, and algorithms their teams need to do their life’s work.

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