Create own Artificial Neural Network in Python Udemy udemy course free download
What you'll learn:
Create own Artificial Neural Network in Python
- Artificial neural network fundamentals
- Python programming fundamentals
- The steps of a neural network creation algorithm
- Step-by-step python implementation of ANN
Description:
Artificial neural networks (ANNs), sometimes known as neural networks (NNs), are computer systems that mimic the organic neural networks seen in animal brains.
In this course, we’ll learn how to use Python to build our own neural networks.
Details are:
- Introduction to artificial neural network
- Python basics
- Let’s understand the algorithm
- Implement ANN in python
- Wrapping up
An artificial neural network (ANN) is a computer program that mimics the behavior of the human brain. We shall learn the fundamentals of artificial neural networks in this section. We’ll also learn about several types of neural networks and neural network approaches. Examples of tasks related to neural networks, including feed-forward and feedback neural networks, and more…
Python fundamentals: Python is a popular programming language. Python can be used for desktop, online, and machine learning programming. In this section, we’ll go over the Python fundamentals that we’ll need to build our neural network. We shall gain knowledge.
- Hello world example
- Taking input
- Data types
- Operators
- if cases
- Loops
- Functions
- Classes
Let’s take a look at the algorithm: What are algorithms? We’ll study about them in this section. What is the mechanism behind it? It’s the fundamentals that must be implemented in the following section, as well as more…
Implement an ANN in Python: In this section, we’ll use Python to create our own neural network. Numpy and scipy libraries are required.
To sum it up: We’ll go over what we did in this section.
Who this course is for:
- Python programmers interested in learning about artificial neural networks
Someone who is new to coding
Someone who isn’t familiar with artificial neural networks
Course Details:
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1.5 hours on-demand video
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8 downloadable resources
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Full lifetime access
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Access on mobile and TV
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Certificate of completion