Description
Master Neural Networks course: Build with JavaScript and React. In this comprehensive course, you’ll learn how to design and implement neural networks from the ground up using JavaScript and React. This course is suitable for anyone looking to understand and build neural networks. This course takes you from the basic concepts of perceptrons (artificial neurons) to building advanced multi-layer neural networks for number recognition. You’ll also learn how to integrate your own neural networks into web applications using JavaScript, React, and Node.js.
What you will learn
- Understanding and implementing perceptrons (a neuron) for binary classification
- Learning and applying the basic principles of neural networks in code
- Perceptrons and how they work
- Construction of perceptron for classification of simple objects
- Number recognition using neural networks
- MNIST data processing
- Multi-layer neural networks
- Activation Functions
- Backpropagation
- Design and implement your own neural networks from scratch
- Train and evaluate neural network models
- Use neural networks in real-world applications
- Gain a deep understanding of neural network concepts
- Integrating neural networks with React and Node.js
- Using the TensorFlow library
- Integrating neural networks into web applications using JavaScript and React
- Working with big data, understanding and processing them effectively
This course is suitable for people who
- Beginners looking for a comprehensive, step-by-step guide to neural networks
- Anyone interested in machine learning and artificial intelligence
- Web developers who want to expand their skills by learning neural networks
Details of the Master Neural Networks course: Build with JavaScript and React
- Publisher: Udemy
- Instructor: Eincode by Filip Jerga
- Training level: beginner to advanced
- Training duration: 16 hours and 24 minutes
- Number of courses: 101
Course headings
Neural Networks Master course prerequisites: Build with JavaScript and React
- Basic coding experience in any programming language.
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
Subtitle: None
Quality: 1080p
download link
File(s) password: www.downloadly.ir
File size
7.93 GB