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React JS Masterclass - Go From Zero To Job Ready - Local Storage: Store All Tasks / 050
Here, we will focus on our local storage. When we create tasks in our TaskMate, we need to provide the app a local storage to store the tasks that we create.
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React JS Masterclass - Go From Zero To Job Ready - Custom Hook (useFetch) / 038
In this lecture, you will learn how to create a custom hook, which are functions that perform a task or fetches the information. You will learn to create a custom hook and call that hook in the code whenever we need information.
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React JS Masterclass - Go From Zero To Job Ready - Controlled Inputs / 027
In this lecture, you will learn to create a button on our app that will allow us to control the input by resetting the input value in the task name field.
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React JS Masterclass - Go From Zero To Job Ready - State Introduction: useState / 010
In this video, we will explore further about a state and then understand in detail the useState, a React hook that lets you add a state variable to a component.
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React JS Masterclass - Go From Zero To Job Ready - Why We Need States? / 009
In this lesson, you will learn about a state, the current value of a variable, which can constantly change, increase or decrease based on the function called. The state defines how a variable behaves at any given point.
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React JS Masterclass - Go From Zero To Job Ready - Create React App
This lecture demonstrates how to create a React application. We will understand the version and documentation to be used for our learning. We will create the package for our projects, which we will use throughout the course for training.
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React JS Masterclass - Go From Zero To Job Ready - Resources (Important)
In this video, you will learn about the resources used in this course and the multiple tools and code files we will use. The instructor explains everything about the code/resources in detail.
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React JS Masterclass - Go From Zero To Job Ready - Dynamic Page Title
In this video, we will learn how to create a dynamic page title using a hook "useTitle.js" and place code to update our title as and when required.
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React JS Masterclass - Go From Zero To Job Ready - WriteNode Demo / 159
This demonstration video of another project called WriteNode, uses Firebase, React router DOM, to create the application. We will also understand about Skeleton.
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React JS Masterclass - Go From Zero To Job Ready - Updating Documents / 261
This guide explains how to use the set, add, or update individual documents in Cloud Firestore. If you want to write data in bulk, see transactions.
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React JS Masterclass - Go From Zero To Job Ready - Snapshots / 258
A DataSnapshot contains data from a Database location. Any time you read data from the database, you receive the data as a data snapshot.
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React JS Masterclass - Go From Zero To Job Ready - Update Environment Variables / 145
Let's discuss the arithmetic operators available in JavaScript to perform operations on constants and variables and look at the different operators available in JavaScript.
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React JS Masterclass - Go From Zero To Job Ready - Undefined Value Warning / 131
This video demonstrates how we can refactor product listing categories based on certain specifics, update any changes made to the products, or take them off the listing.
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Deep Learning - Artificial Neural Networks with Tensorflow - Adam Optimization (Part 2)
In this video, we will understand more about Adam optimization. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section, we will dive...
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Deep Learning - Artificial Neural Networks with Tensorflow - Adam Optimization (Part 1)
In this video, we will talk about Adam optimization, get introduced to Adam, and understand its basics. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with...
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Deep Learning - Artificial Neural Networks with Tensorflow - Gradient Descent
In this video, we will get introduced to gradient descent. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section, we will dive...
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Deep Learning - Artificial Neural Networks with Tensorflow - Binary Cross Entropy
In this video, you will learn about binary cross entropy, which is the correct loss function to use for binary classification. This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural...
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Deep Learning - Artificial Neural Networks with Tensorflow - Mean Squared Error
In this video, we will understand MSE (Mean Squared Error) from a probabilistic perspective. This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this...
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Deep Learning - Artificial Neural Networks with Tensorflow - How to Choose Hyperparameters
In this video, we will understand how to choose hyperparameters. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will...
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Deep Learning - Artificial Neural Networks with Tensorflow - ANN for Regression
In this video, we will understand regression in ANN. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will cover...
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Deep Learning - Artificial Neural Networks with Tensorflow - ANN for Image Classification
In this video, we will work on image classification with the MNIST dataset. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this...
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Deep Learning - Artificial Neural Networks with Tensorflow - Multiclass Classification
In this video, you will learn about multiclass classification. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will...
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Deep Learning - Artificial Neural Networks with Tensorflow - Suggestion Box
In this video, we will have a look at the suggestion box where we can add feedback for this course. This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with...
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Deep Learning - Artificial Neural Networks with Tensorflow - Saving and Loading a Model
In this video, you will learn how to save a model and then load it later. This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will...