Cargando…

Angular and deep learning /

"As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic deep learning concepts and incorporate that knowledge into Angular 10 applications. It is intended to be a fast-paced introduction to some basic features of deep learning and an overview of...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Campesato, Oswald (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dulles, Virginia : Mercury Learning and Information, [2021]
Colección:Pocket primer.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Machine generated contents note: 1. Quick Introduction To Angular
  • What You Need to Understand for Angular Applications
  • High-Level View of Angular
  • High-Level View of Angular Applications
  • Angular CLI
  • Features of the Angular CLI (optional)
  • Hello World Angular Application
  • Contents of the Three Main Files
  • index.html Web Page
  • Exporting and Importing Packages and Classes (optional)
  • Working with Components in Angular
  • Syntax, Attributes, and Properties in Angular
  • Angular Lifecycle Methods
  • Simple Example of Angular Lifecycle Methods
  • CSS3 Animation Effects in Angular
  • Animation Effects via the "Angular Way"
  • Basic SVG Example in Angular
  • Detecting Mouse Positions in Angular Applications
  • Angular and Follow-the-Mouse in SVG
  • Angular and SVG Charts
  • D3 Animation and Angular
  • Summary
  • 2. UI Controls, User Input, And Pipes
  • ngFor Directive in Angular
  • Displaying a Button in Angular
  • Angular and Radio Buttons
  • Adding Items to a List in Angular
  • Deleting Items from a List in Angular
  • Angular Directives and Child Components
  • Constructor and Storing State in Angular
  • Conditional Logic in Angular
  • Handling User Input
  • Click Events in Multiple Components
  • Working with @Input, @Output, and EventEmitter
  • Presentational Components
  • Working with Pipes in Angular
  • Creating a Custom Angular Pipe
  • Reading JSON Data via an Observable in Angular
  • Upgrading Code from Earlier Angular Versions
  • Reading Multiple Files with JSON Data in Angular
  • Reading CSV Files in Angular
  • Summary
  • 3. Forms And Services
  • Overview of Angular Forms
  • Angular Form Example
  • Angular Forms with FormBuilder
  • Angular Reactive Forms
  • Other Form Features in Angular
  • What are Angular Services?
  • Angular Service Example
  • Service with an EventEmitter
  • Searching for a GitHub User
  • Other Service-related Use Cases
  • Flickr Image Search Using jQuery and Angular
  • HTTP GET Requests with a Simple Server
  • HTTP POST Requests with a Simple Server
  • SVG Line Plot from Simulated Data in Angular (optional)
  • Summary
  • 4. Deep Learning Introduction
  • Keras and the xor Function
  • What is Deep Learning?
  • What are Perceptrons?
  • Anatomy of an Artificial Neural Network (ANN)
  • What is a Multilayer Perceptron (MLP)?
  • How are Datapoints Correctly Classified?
  • High-Level View of CNNs
  • Displaying an Image in the MNIST Dataset
  • Keras and the Mnist Dataset
  • Keras, CNNs, and the Mnist Dataset
  • CNNS with Audio Signals
  • Summary
  • 5. Deep Learning: Rnns And LSTMs
  • What is an RNN?
  • Working with RNNs and Keras
  • Working with Keras, RNNs, and MNIST
  • Working with TensorFlow and RNNs (Optional)
  • What is an LSTM?
  • Working with TensorFlow and LSTMs (Optional)
  • What are GRUs?
  • What are Autoencoders?
  • What are GANs?
  • Creating a GAN
  • Summary
  • 6. Angular And Tensorflow.JS
  • What is TensorFlowjs?
  • Working with Tensors in TensorFlowjs
  • Machine Learning APIs in TensorFlowjs
  • Linear Regression with TensorFlowjs
  • Angular, TensorFlowjs, and Linear Regression
  • Creating Line Graphs in tfjs-vis
  • Creating Bar Charts in tfjs-vis
  • Creating Scatter Plots in tfjs-vis
  • Creating Histograms in tfjs-vis
  • Creating Heat Maps in tfjs-vis
  • TensorFlowjs, tfjs-vis, and Linear Regression
  • MNIST Dataset
  • Displaying MNIST Images
  • Training a Model with the CIFAR10 Dataset (optional)
  • Deep Learning and the MNIST Dataset
  • Angular, Deep Learning, and the MNIST Dataset
  • Summary
  • APPENDICES
  • A. Introduction To Keras
  • B. Introduction To TF 2
  • C. TF 2 Datasets.