Convolutional Neural Networks with Swift for Tensorflow 
by Brett Koonce
Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you...
Price: $29.14 | Publisher: Apress | Release: 2021
Computer Vision Using Deep Learning
by Vaibhav Verdhan
Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems. This book will bring into focus these and other deep learning architectures and techniques to help you create solutions using Keras and the...
Price: $30.95 | Publisher: Apress | Release: 2021
Deep Learning with Swift for TensorFlow 
by Rahul Bhalley
Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both with support for modern hardware accelerators and more. This book covers the deep learning concepts from fundam...
Price: $36.13 | Publisher: Apress | Release: 2021
Deep Reinforcement Learning in Unity
by Abhilash Majumder
Gain an in-depth overview of reinforcement learning for autonomous agents in game development with Unity.This book starts with an introduction to state-based reinforcement learning algorithms involving Markov models, Bellman equations, and writing custom C# code with the aim of contrasting value and policy-based functions in reinforcement learning. Then, you will move on to path finding and navigation meshe...
Price: $49.36 | Publisher: Apress | Release: 2021
Beginning Mathematica and Wolfram for Data Science
by Jalil Villalobos Alva
Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The book will introduce you to the Wolfram programming language and its syntax, as well as the structure of Mathematica and its advantages and disadvantages.You'll see how to use the Wolfram language for data science from a theoretical and practical perspective. Lear...
Price: $36.52 | Publisher: Apress | Release: 2021
TensorFlow 2.x in the Colaboratory Cloud
by David Paper
Use TensorFlow 2.x with Google's Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially well suited as a platform for TensorFlow 2.x deep learning applications. You will learn Colab's default install of the most current TensorFlow 2.x along with Colab's easy access to on-demand GPU hardware acceleration in the cloud for fast execution of deep learning model...
Price: $36.22 | Publisher: Apress | Release: 2021
Beginning Machine Learning in the Browser
by Suryadevara Nagender Kumar
Apply Artificial Intelligence techniques in the browser or on resource constrained computing devices. Machine learning (ML) can be an intimidating subject until you know the essentials and for what applications it works. This book takes advantage of the intricacies of the ML processes by using a simple, flexible and portable programming language such as JavaScript to work with more approachable, fundamental...
Price: $29.04 | Publisher: Apress | Release: 2021
by Tshepo Chris Nokeri
Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models. Each chapter includes a set of examples allowing you to understand the concepts, assumptions, and procedures ...
Price: $33.49 | Publisher: Apress | Release: 2021
Quantum Machine Learning: An Applied Approach
by Santanu Ganguly
Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) through various options available in industry and research.The first three chapters offer insights into the combination of the science of quantum mechanics and the techniques of machine learning, where concepts of classical information technology meet the power o...
Price: $44.74 | Publisher: Apress | Release: 2021
Advanced Forecasting with Python
by Joos Korstanje
Cover all the machine learning techniques relevant for forecasting problems, ranging from univariate and multivariate time series to supervised learning, to state-of-the-art deep forecasting models such as LSTMs, recurrent neural networks, Facebook's open-source Prophet model, and Amazon's DeepAR model.Rather than focus on a specific set of models, this book presents an exhaustive overview of all the techni...
Price: $34.19 | Publisher: Apress | Release: 2021