Udemy – Building Your Own Neural Networks in Python 2021-11 – Download

Explanation

Building Your Own Neural Network from Scratch with Python Together we will learn the deep concepts of machine learning and Python programming, and then apply our knowledge to building a neural network from scratch without using any libraries. What you will learn in this course will not only lay a solid foundation for your Deep Learning skills, but also allow you to understand how deep learning libraries work. If you have reached this level, it means that you are interested in learning how neural networks work and using your skills to solve practical problems. You may already have knowledge about machine learning and Python programming, or you may be coming into contact with these for the first time. It doesn’t matter where you come from, because by the end of this course, you will be an expert with hands-on experience. If you are ready to take the next step in your career, this course is for you and we are happy to help you achieve your goals. This course is provided by Neurallearn.

What will you learn?

Introductory Python, to more advanced concepts like Object Oriented Programming, Decorators, generators, and even custom libraries like Numpy & Matplotlib
Competence on the fundamentals of Machine Learning and the Machine Learning Development Life Cycle.
Linear regression, logistic regression and neural networks built from scratch.
Building a simple deep learning library from first principles