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Angular DevTools is a browser extension that provides debugging and profiling capabilities for Angular applications. Angular DevTools supports Angular v12 and later when compiled with the optimization configuration option disabled ({optimization:false}). You can find Angular DevTools in the Chrome Web Store and in Firefox Addons. After installing Angular DevTools, find the extension under the Angular tab in your browser DevTools. […]
Configuring compiler options for the Angular Language Service To enable the latest Language Service features, set the strictTemplates option in tsconfig.json by setting strictTemplates to true, as shown in the following example: For more information, see the Angular compiler options guide. Features Your editor autodetects that you are opening an Angular file. It then uses the Angular Language Service to read your tsconfig.json file, find all the […]
A number of Angular CLI commands run a complex process on your code, such as linting, building, or testing. The commands use an internal tool called Architect to run CLI builders, which apply another tool to accomplish the wanted task. With Angular version 8, the CLI Builder API is stable and available to developers who want […]
In this chapter, we will understand the various aspects of neural network training which can be implemented using TensorFlow framework. Following are the ten recommendations, which can be evaluated − Back Propagation Back propagation is a simple method to compute partial derivatives, which includes the basic form of composition best suitable for neural nets. Stochastic […]
Configuring application environments You can define different named build configurations for your project, such as development and staging, with different defaults. Each named configuration can have defaults for any of the options that apply to the various builder targets, such as build, serve, and test. The Angular CLI build, serve, and test commands can then replace files with appropriate versions for your intended target environment. Configure environment-specific […]
TensorFlow includes a special feature of image recognition and these images are stored in a specific folder. With relatively same images, it will be easy to implement this logic for security purposes. The folder structure of image recognition code implementation is as shown below − The dataset_image includes the related images, which need to be […]
A partial differential equation (PDE) is a differential equation, which involves partial derivatives with unknown function of several independent variables. With reference to partial differential equations, we will focus on creating new graphs. Let us assume there is a pond with dimension 500*500 square − N = 500 Now, we will compute partial differential equation […]
Gradient descent optimization is considered to be an important concept in data science. Consider the steps shown below to understand the implementation of gradient descent optimization − Step 1 Include necessary modules and declaration of x and y variables through which we are going to define the gradient descent optimization. Step 2 Initialize the necessary […]
In this chapter, we will learn about the XOR implementation using TensorFlow. Before starting with XOR implementation in TensorFlow, let us see the XOR table values. This will help us understand encryption and decryption process. A B A XOR B 0 0 0 0 1 1 1 0 1 1 1 0 XOR Cipher encryption method is […]
Optimizers are the extended class, which include added information to train a specific model. The optimizer class is initialized with given parameters but it is important to remember that no Tensor is needed. The optimizers are used for improving speed and performance for training a specific model. The basic optimizer of TensorFlow is − This […]