Artificial Neural Networks with NeuroLab and Python 
Instructor: Cristi Zot 
Duration: 2.00 This course is a hands-on introduction to Artificial Neural Networks (ANNs) using NeuroLab and Python. You will learn the basic concepts of ANNs, the perceptron, single-layer and multi-layer neural networks, recurrent neural networks (RNNs), and optical character recognition (OCR). You will also learn how to use Python and Jupyter notebooks to build and train ANNs. This course is perfect for anyone interested in online learning and AI. ▼
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Course Feature
Cost:
Free
Provider:
Udemy
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [May 25th, 2023]
Welcome to the Artificial Neural Networks with NeuroLab and Python course! In this course, you will learn the basics of artificial neural networks and how to use the NeuroLab library to create and train them. You will also learn how to use the Python programming language to create and train neural networks. Finally, you will learn how to use neural networks to solve real-world problems such as optical character recognition (OCR).
Possible Development Directions:
This course is designed to give you a solid foundation in artificial neural networks and NeuroLab. After completing this course, you can explore more advanced topics such as deep learning, convolutional neural networks, and recurrent neural networks. You can also explore other Python libraries such as TensorFlow and Keras for creating and training neural networks.
Related Learning Suggestions:
If you are interested in learning more about artificial neural networks, you can explore other courses such as Introduction to Machine Learning with Python, Deep Learning with Python, and Introduction to Artificial Intelligence. You can also explore other Python libraries such as TensorFlow and Keras for creating and training neural networks. Additionally, you can explore other topics such as natural language processing, computer vision, and robotics.
Pros & Cons
Good match
Interesting subject matter
Awesome session
Decent content
Good knowledge
Simple intro to field
Added to AI learning
Excellent presentation
Taught basics
Delivery of topics not clear
Not suitable for newbies
Could have more explanation
Course Provider
Provider Udemy's Stats at AZClass
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