What you'll learn:
- Basics of artificial neural network
- Basics of python programming
- Steps of algorithm for creating neural network
- Step by step implementation of ANN in python
Artificial neural networks (ANNs), also known as neural networks (NNs), are computer systems that are modelled after the biological neural networks that make up animal brains.
In this course ,we will learn to create our own neural networks with python.
Details are:
Introduction to artificial neural network
Python basics
Let's understand algorithm
Implement ANN in python
Wrapping up
Introduction to artificial neural network: Artificial neural networks simulates the functioning of human brain .This section,we will learn the basics of artificial neural network.We will also learn various types of neural network.,techniques of neural networks. Tasks associated with neural network with examples,feed forward and feed back neural networks and more....
Python basics : Python is the language widely used for development.We can use python in desktop,web and ML development. In this section we will learn about python basics required to implement our neural network.We will learn
Hello world example
Taking input
Data types
Operators
if cases
Loops
Functions
Classes
Let's understand algorithm : In this section we will learn what are algorithms?How it works? It's basics required to implement in next section and more....
Implement ANN in python : In this section,we will implement our own neural network with python.Requires Numpy and scipy libraries.
Wrapping up : In this section,we will analyse what we done.
