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Machine Learning: Build neural networks in 77 lines of code

Machine Learning: Build neural networks in 77 lines of code

Machine Learning: Build neural networks in 77 lines of code
Machine Learning: Build neural networks in 77 lines of code, Machine Learning and Artificial Intelligence for beginners. How to build a neural network in 77 lines of Python code.
  • Created by Milo Spencer-Harper
  • English
  • English [Auto-generated]


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Description
From Google Translate to Netflix recommendations, neural networks are increasingly being used in our everyday lives. One day neural networks may operate self driving cars or even reach the level of artificial consciousness. As the machine learning revolution grows, demand for machine learning engineers grows with it. Machine learning is a lucrative field to develop your career.



In this course, I will teach you how to build a neural network from scratch in 77 lines of Python code. Unlike other courses, we won't be using machine learning libraries, which means you will gain a unique level of insight into how neural networks actually work. This course is designed for beginners. I don't use complex mathematics and I explain the Python code line by line, so the concepts are explained clearly and simply.



This is the expanded and improved video version of my blog post "How to build a neural network in 9 lines of Python code" which has been read by over 500,0000 students.

Enroll today to start building your neural network

More Courses by Milo Spencer-Harper

How to teach a neural network to play a game using delayed gratification in 146 lines of Python code

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