Artificial Intelligence with Python – Deep Neural Networks

neural networks

Description:

This Neural Network tutorial will help you understand what is a neural network, how a neural network works, what can the neural network do, types of neural network and a use case implementation on how to classify between photos of dogs and cats. Deep Learning uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning. Most deep learning methods involve artificial neural networks, modelling how our brains work. Neural networks are built on Machine Learning algorithms to create an advanced computation model that works much like the human brain. This neural network tutorial is designed for beginners to provide them with the basics of deep learning. Now, let us deep dive into this video to understand how a neural network actually work. Below topics are explained in this neural network Tutorial.

 

What you will learn:

1. What is Neural Network?

2. What can Neural Network do?

3. How does Neural Network work?

4. Types of Neural Network

5. Use case – To classify between the photos of dogs and cats

Course Information

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