(MVC) MVC (2022)

Campesato O. Angular and Deep Learning Pocket Primer 2021


1 QUICK INTRODUCTION TO ANGULAR
What You Need to Understand for Angular Applications
A High-Level View of Angular
A High-Level View of Angular Applications
The Angular CLI
Features of the Angular CLI (optional)
A Hello World Angular Application
The Contents of the Three Main Files
The 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
A Simple Example of Angular Lifecycle Methods
CSS3 Animation Effects in Angular
Animation Effects via the “Angular Way”
A 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
2 UI CONTROLS, USER INPUT, AND PIPES
The 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
The 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
3 FORMS AND SERVICES
Overview of Angular Forms
An Angular Form Example
Angular Forms with FormBuilder
Angular Reactive Forms
Other Form Features in Angular
What are Angular Services?
An Angular Service Example
A 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
An SVG Line Plot from Simulated Data in Angular(optional)
4 DEEP LEARNING INTRODUCTION
Keras and the xor Function
What is Deep Learning?
What are Perceptrons?
The Anatomy of an Artificial Neural Network (ANN)
What is a Multilayer Perceptron (MLP)?
How are Datapoints Correctly Classified?
A 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
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
6 ANGULAR AND TENSORFLOW JS
What is TensorFlow.js?
Working with Tensors in TensorFlow.js
Machine Learning APIs in TensorFlow.js
Linear Regression with TensorFlow.js
Angular, TensorFlow.js, 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
TensorFlow.js, tfjs-vis, and Linear Regression
The 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


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