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3341Publicado 2017“…Connect standard hardware to enable your projects to see, speak, hear, and move Build advanced capabilities into your projects, such as GPS and sonar sensors Build complex projects that can fly, or go under or on the water In Detail BeagleBone Blue is effectively a small, light, cheap computer in a similar vein to Raspberry Pi and Arduino. …”
Libro electrónico -
3342Publicado 2016“…Discover how to build your own smart Internet of Things projects and bring a new degree of interconnectivity to your world About This Book Learn how to extract and analyse data from physical devices and build smart IoT projects Master the skills of building enticing projects such as a neural network autonomous car, computer vision through a camera, and cloud-based IoT applications This project-based guide leverages revolutionary computing chips such as Raspberry Pi, Arduino, and so on Who This Book Is For If you are hobbyist who is keen on making smart IoT projects, then this book is for you. …”
Libro electrónico -
3343Publicado 2016Materias: “…Project management…”
Libro electrónico -
3344Publicado 2016“…Cardboard virtual reality projects for Android…”
Libro electrónico -
3345Publicado 2017“…Master the art of building modern desktop applications on Windows About This Book Learn how to use the MVVM software architectural pattern and see the benefits of using it with Windows Presentation Fountain (WPF) Explore various ways to enhance efficiency through performance tuning and UI automation Obtain a deep understanding of data validation and understand various methods that suit different situations Who This Book Is For This book is for working developers with a moderate level of knowledge about Windows Presentation Foundation. …”
Libro electrónico -
3346por Tyers, Ben. author“…For each game there is a YYZ project file of the completed game that is ready to load and play. …”
Publicado 2018
Libro electrónico -
3347Publicado 2017“…You'll work through projects on performing efficient market data research, building recommendation systems, and analyzing networks accurately, all provided with easy to follow codes. …”
Libro electrónico -
3348Publicado 2019Tabla de Contenidos: “…Secrets of Successful Presenters: An Audience Quickly Forgets the Ordinary-Don't Be Ordinary! …”
Libro electrónico -
3349Publicado 2018Tabla de Contenidos: “…-- Frequently asked questions (FAQs) -- Summary -- Answers to questions -- Chapter 11: Discussion, Current Trends, and Outlook -- Discussion and outlook -- Discussion on the completed projects -- Titanic survival prediction using MLP and LSTM networks -- Cancer type prediction using recurrent type networks -- Image classification using convolutional neural networks…”
Libro electrónico -
3350Publicado 2018Tabla de Contenidos: “…Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents…”
Libro electrónico -
3351Publicado 2018“…Eight practical Bootstrap projects…”
Libro electrónico -
3352Publicado 2018“…Python Reinforcement Learning Projects takes you through various aspects and methodologies of reinforcement learning, with the help of insightful projects. …”
Libro electrónico -
3353Publicado 2019“…Master a range of machine learning domains with real-world projects using TensorFlow for R, H2O, MXNet, and more Key Features Master machine learning, deep learning, and predictive modeling concepts in R 3.5 Build intelligent end-to-end projects for finance, retail, social media, and a variety of domains Implement smart cognitive models with helpful tips and best practices Book Description R is one of the most popular languages when it comes to performing computational statistics (statistical computing) easily and exploring the mathematical side of machine learning. …”
Libro electrónico -
3354Publicado 2019Tabla de Contenidos: “…Mobile Artificial Intelligence Projects: Develop seven projects on your smartphone using artificial intelligence and deep learning techniques…”
Libro electrónico -
3355Publicado 2019“…"Build your Machine Learning portfolio by creating 6 cutting-edge Artificial Intelligence projects using neural networks in Python Key Features Discover neural network architectures (like CNN and LSTM) that are driving recent advancements in AI Build expert neural networks in Python using popular libraries such as Keras Includes projects such as object detection, face identification, sentiment analysis, and more Book Description Neural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more. …”
Libro electrónico -
3356Publicado 2017“…Start-to-finish, fun projects for makers of all types, ages, and skill levels! …”
Libro electrónico -
3357Publicado 2019Tabla de Contenidos: “…Objections that the audience might have in their mind about you or -- Your topic -- Getting the audience to take action -- Dealing with difficult audience questions -- How to prepare -- Delivering on the day -- What will being better at presentations mean to you?…”
Libro electrónico -
3358Publicado 2019“…Spectrum Protect Plus…”
Libro electrónico -
3359Publicado 2020Tabla de Contenidos: “…Blockchain Development for Finance Projects: Building next-generation financial applications using Ethereum, Hyperledger Fabric, and Stellar…”
Libro electrónico -
3360Publicado 2018Tabla de Contenidos: “…-- Traffic sign recognition using CNN -- Getting started with exploring GTSRB -- First solution - convolutional neural networks using MXNet -- Trying something new - CNNs using Keras with TensorFlow -- Reducing overfitting with dropout -- Dealing with a small training set - data augmentation -- Reviewing methods to prevent overfitting in CNNs -- Summary -- Chapter 3: Fraud Detection with Autoencoders -- Getting ready -- Installing Keras and TensorFlow for R -- Installing H2O -- Our first examples -- A simple 2D example -- Autoencoders and MNIST -- Outlier detection in MNIST -- Credit card fraud detection with autoencoders -- Exploratory data analysis -- The autoencoder approach - Keras -- Fraud detection with H2O -- Exercises -- Variational Autoencoders -- Image reconstruction using VAEs -- Outlier detection in MNIST -- Text fraud detection -- From unstructured text data to a matrix -- From text to matrix representation - the Enron dataset -- Autoencoder on the matrix representation -- Exercises -- Summary -- Chapter 4: Text Generation Using Recurrent Neural Networks…”
Libro electrónico