Learn IT - Books tags networks

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Packt Publishing, 2019

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

Build a strong foundation in neural networks and deep learning with Python libraries

Explore advanced deep learning techniques and their applications...

Artificial Intelligence for Robotics: Build intelligent robots that perform human tasks using AI techniques

Packt Publishing, 2018

Bring a new degree of interconnectivity to your world by building your own intelligent robots

Key Features

Leverage fundamentals of AI and robotics

Work through use cases to implement various machine learning algorithms

Explore Natural Language Processing...

Qt5 Python GUI Programming Cookbook: Building responsive and powerful cross-platform applications with PyQt

Packt Publishing, 2018

Over 60 recipes to help you design interactive, smart, and cross-platform GUI applications

Key Features

Get succinct QT solutions to pressing GUI programming problems in Python

Learn how to effectively implement reactive programming

Build customized...

Artificial Intelligence and Machine Learning Fundamentals: Develop real-world applications powered by the latest AI advances

Packt Publishing, 2018

Create AI applications in Python and lay the foundations for your career in data science

Key Features

Practical examples that explain key machine learning algorithms

Explore neural networks in detail with interesting examples

Master core AI concepts with...

Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python

Packt Publishing, 2018

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras

Key Features

Implement machine learning algorithms to build, train, and validate algorithmic models

Create your own algorithmic design process to apply...

Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing

Apress, 2018

Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and...

Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Packt Publishing, 2018

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...

Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques

Packt Publishing, 2018

Build next-generation artificial intelligence systems with Java

Key Features

Implement AI techniques to build smart applications using Deeplearning4j

Perform big data analytics to derive quality insights using Spark MLlib

Create self-learning systems using...

Learning JavaScript Data Structures and Algorithms: Write complex and powerful JavaScript code using the latest ECMAScript, 3rd Edition

Packt Publishing, 2018

Create classic data structures and algorithms such as depth-first search and breadth-first search, learn recursion, as well as create and use a heap data structure using JavaScript

Key Features

Implement common data structures and the associated algorithms along with the context in which...

Practical Convolutional Neural Networks: Implement advanced deep learning models using Python

Packt Publishing, 2018

One stop guide to implementing award-winning, and cutting-edge CNN architectures

Key Features

Fast-paced guide with use cases and real-world examples to get well versed with CNN techniques

Implement CNN models on image classification, transfer learning, Object Detection,...

Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

Packt Publishing, 2018

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Key Features

Explore statistics and complex mathematics for data-intensive applications

Discover new developments in EM algorithm, PCA, and bayesian...

Practical Contiki-NG: Programming for Wireless Sensor Networks

Apress, 2018

Explore how to develop and implement wireless server networks (WSN) using Contiki-NG, branded as the operating system for the IoT. The book explains Contiki-NG’s advantages in sensing, communication, and energy optimization and enables you to begin solving problems in automation with WSN.

Practical...

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