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Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. 

The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0.
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Mastering Flask Web Development: Build enterprise-grade, scalable Python web applications, 2nd Edition
Mastering Flask Web Development: Build enterprise-grade, scalable Python web applications, 2nd Edition

Learn to build modern, secure, highly available web MVC applications and API's using Python`s Flask framework.

Key Features

  • Create production-ready MVC and REST API with the dynamic features of Flask
  • Utilize the various extensions like Flask-JWT and Flask-SQLAlchemy to...
Serverless Applications with Node.js: Using AWS Lambda and Claudia.js
Serverless Applications with Node.js: Using AWS Lambda and Claudia.js
Summary

Serverless Applications with Node.js walks you through building serverless apps on AWS using JavaScript. Inside, you'll discover what Claudia.js brings to the table as you build and deploy a scalable event-based serverless application, based around a pizzeria that's fully integrated with AWS
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Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Build, scale, and deploy deep neural network models using the star libraries in Python

Key Features

  • Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras
  • Build, deploy, and scale end-to-end deep neural network models in a production...
OpenCV 3 Computer Vision with Python Cookbook: Leverage the power of OpenCV 3 and Python to build computer vision applications
OpenCV 3 Computer Vision with Python Cookbook: Leverage the power of OpenCV 3 and Python to build computer vision applications

Recipe-based approach to tackle the most common problems in Computer Vision by leveraging the functionality of OpenCV using Python APIs

Key Features

  • Build computer vision applications with OpenCV functionality via Python API
  • Get to grips with image processing, multiple...
ReactJS by Example- Building Modern Web Applications with React
ReactJS by Example- Building Modern Web Applications with React

Key Features

  • Create pragmatic real-world applications while learning React and its modern developer tools
  • Build sustainable user interfaces by transforming data into components of UI
  • Learn how to generate reusable ReactJS components effectively

Book Description

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Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition
Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.

Key Features

  • Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow
  • Explore deep neural...
Beginning LoRa Radio Networks with Arduino: Build Long Range, Low Power Wireless IoT Networks
Beginning LoRa Radio Networks with Arduino: Build Long Range, Low Power Wireless IoT Networks
Create your own LoRa wireless projects for non-industrial use and gain a strong basic understanding of the LoRa technology, LoRa WAN, and LPWAN. 

You'll start by building your first LoRa wireless channel and then move on to various interesting projects such as setting up networks with a LoRa gateway,
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TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0
TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.

Key Features

  • Train your own models for effective prediction, using high-level Keras API
  • Perform supervised and unsupervised machine learning and learn...
Python Requests Essentials
Python Requests Essentials

Learn how to integrate your applications seamlessly with web services using Python Requests

About This Book

  • A fast-paced guide that demonstrates the use of Python Requests with the help of examples
  • Learn web scraping with Beautiful Soup and Python Requests libraries
  • ...
Python Hacking Essentials
Python Hacking Essentials

Target Audience

  • This book is not for professional hackers. Instead, this book is made for beginners who have programming experience and are interested in hacking. Here, hacking techniques that can be easily understood have been described. If you only have a home PC, you can test all the examples provided here. I...
MIDP 2.0 Style Guide for the Java 2 Platform, Micro Edition
MIDP 2.0 Style Guide for the Java 2 Platform, Micro Edition

MIDP 2.0 Style Guide for the Java(TM) 2 Platform, Micro Edition, is the comprehensive reference for designing and creating interactive Java(TM) applications for consumer-oriented mobile devices. Readers learn how to best exploit MIDP 2.0 features, such as the gaming API, multimedia, and...

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