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...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | |
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.