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Convolutional Neural Networks with Swift for Tensorflow

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

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

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

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

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

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

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

Data Science Revealed

Data Science Revealed

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

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

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

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