Neural Networks and Deep Learning: Single Perceptron Model For Absolute Beginners | By Dr. Ry

Hello everyone and welcome to this tutorial on Artificial Neural Networks. In this tutorial, we will cover the basics of artificial neural networks and we will build a single neuron (perceptron) model from scratch. After completing this tutorial, students will be able to: o Understand the theory and intuition behind Artificial neural networks o Build a single neuron model from scratch o Understand some terminologies of ANNs parameters such as weights, biases and activation functions I hope you will enjoy this tutorial! For more information on this, check out my course on Deep Learning and Computer Vision for Self-Driving Cars on Udemy: https://www.udemy.com/autonomous-cars-deep-learning-and-computer-vision-in-python/?couponCode=AUTCARS_YOUTUBE_10 For more information on this, here’s a link to my new machine learning Classification course on Udemy: https://www.udemy.com/machine-learning-classification/?couponCode=MLC_YOUTUBE_10 Here’s a link to my new machine learning regression course on Udemy: https://www.udemy.com/machine-learning-regression-masterclass-in-python/ Subscribe to my channel to get the latest updates, we will be releasing new videos on weekly basis: https://www.youtube.com/channel/UC76VWNgXnU6z0RSPGwSkNIg/videos