Neural Networks in Python from Scratch: Complete Guide – Udemy
This course has the highest rating on the Udemy marketplace. The main goal of this lesson is to teach students about the theoretical and mathematical concepts of neural networks. The students will first learn about important concepts including perceptrons, activation functions, and multilayer networks. Furthermore, follow-along demonstrations are provided for sophisticated concepts such as backpropagation algorithms and gradient descent. The course then continues on to the practical portion, where students will learn how to design neural networks from the ground up.
Furthermore, the students will receive valuable programming expertise using Python to create machine learning models that address a variety of data science problems. In addition, several examples and projects are provided for the most common Python libraries for developing machine learning models.
The course modules are:
- Introduction
- Single Layer Perceptron
- Multilayer Perceptron
- Libraries for Neural Networks
Instructor: Jones Granatyr, JA Expert Academy and Ligency Team
Level: Beginner
Duration: 8 hours and 41 minutes
User Review: 4.7/5
No. of Reviews: 196
Price: $47.6
Website: udemy.com/course/neural-networks-in-python-a-guide-for-beginners/
