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What are Artificial Neural Networks?

An artificial Neural Network is a computational model that mimics the way nerve cells work in the human brain. Artificial neural networks (ANNs) use learning algorithms that can independently make adjustments - or learn, in a sense - as they receive new input. This makes them a very effective tool for non-linear statistical data modeling.

What is Deep Learning?
Deep learning is a subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data. Similarly to how we learn from experience, the deep learning algorithm would perform a task repeatedly, each time tweaking it a little to improve the outcome. Artificial neural networks can be implemented using Keras and other tools.

In this tutorial, we aim to simplify Artificial Neural Network and Deep Learning for Beginners. We will be walking you through all the important concepts from scratch.

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### In this video, you'll learn:

✔ Artificial intelligence
✔ Machine learning and it’s limitations
✔ What is deep learning
✔ Activation function
✔ What are deep networks
✔ Limitations of deep learning
✔ Artificial neural networks
✔ ANN typical algorithm
✔ ANN model on Keras

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⏱ Chapters:

0:00 Introduction
0:28 Artificial intelligence
5:03 Machine learning and it’s limitations
7:07 What is deep learning
9:34 Activation function
10:20 What are deep networks
12:38 Limitations of deep learning
14:53 Artificial neural networks
22:18 ANN typical algorithm
25:33 ANN model on Keras

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▶ Related videos:
- Artificial Neural Networks for Beginners 2026 | Neural Networks | Machine Learning | Scaler: https://www.youtube.com/watch?v=3vXJOvi-YPI
- Neural Network Simplified for Beginners | Neural Networks for ML Explained | Machine Learning: https://www.youtube.com/watch?v=LaTFIwiyKRY
- Deep Dive into Scaler's Advanced AI & Machine Learning Programme: https://www.youtube.com/watch?v=sbhgxDZYezU

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### About Scaler

Scaler is one of India's leading tech education platforms helping aspiring software engineers and professionals build successful careers in Software Engineering, AI, Data Science, Machine Learning, DevOps, Cloud Computing, Cybersecurity, and Product Management. Learn from industry experts through live classes, personalized mentorship, hands-on projects, and a job-focused curriculum designed for the modern tech industry.

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Deep Learning and Artificial Neural Network Made Simple for Beginners | Machine Learning Tutorial

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