ReactJS – Props Validation
This chapter is about ReactJS - Props Validation. Properties validation is a useful way to force the correct usage of the components. This will help during development to avoid future…
ReactJS – Props Overview
This chapter is about props overview of ReactJS. The main difference between state and props is that props are immutable. This is why the container component should define the state that can…
ReactJS – State
This chapter is about ReactJS - State. State is the place where the data comes from. We should always try to make our state as simple as possible and minimize the…
ReactJS – Components
This chapter is about ReactJS - Components. In this chapter, we will learn how to combine components to make the app easier to maintain. This approach allows to update and…
ReactJS – JSX
This chapter is about ReactJS JSX. React uses JSX for templating instead of regular JavaScript. It is not necessary to use it, however, following are some pros that come with…
ReactJS – Environment Setup
In this chapter, we will show you how to setup environment for successful ReactJS. Notice that there are many steps involved but this will help speed up the development process…
ReactJS – Overview
ReactJS is JavaScript library used for building reusable UI components. According to React official documentation, following is the definition − React is a library for building composable user interfaces. It…
Keras – Pre-Trained Models
In this chapter, we will learn about the Keras pre-trained models . Let us begin with VGG16. VGG16 VGG16 is another pre-trained model. It is also trained using ImageNet. The syntax…
Real Time Prediction using ResNet Model
ResNet is a pre-trained model. It is trained using ImageNet. ResNet model weights pre-trained on ImageNet. It has the following syntax − keras.applications.resnet.ResNet50 ( include_top = True, weights = 'imagenet', input_tensor = None,…
Keras – Applications
Keras applications module is used to provide pre-trained model for deep neural networks. Keras models are used for prediction, feature extraction and fine tuning. This chapter explains about Keras applications…
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