Artificial Neural Networks are at the very core of Deep Learning. They are powerful, versatile, and scalable, making them ideal to tackle large and highly complex Machine Learning tasks powering speech recognition services (e.g., Apple’s Siri), classifying billions of images (e.g., Google Images), recommending the best videos to watch (e.g., YouTube).
Want to know more about introduction to Artificial Neural Network in Python? Read the blog post at https://k21academy.com/aiml13 to learn more.
The blog post covers:
· What are Artificial Neurons?
· How Does Artificial Neural Network Work?
· What Is A Perceptron?
· How is Perceptron Trained?
· The Multilayer Perceptron and Backpropagation
· Artificial Neural Network in Python
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