What are Neural Networks ? | An Introduction
We dive into the fundamental concepts of neural networks. Learn about the basic architecture of a neural network, the role of neurons, and understand the forward and backward pass, backpropagation, loss function, and optimization techniques. Discover the advantages of deep learning models and how they revolutionize AI applications.
This series is taught by Dr Anil Variyar, who has a PhD in Aeronautics and Astronautics from Stanford University.
🚀 Topics Covered:
Introduction to Neural Networks
Understanding Neurons in Neural Networks
Basic Architecture of a Neural Network
What is a Forward Pass?
What is a Backward Pass?
Exploring Backpropagation
Loss Function Explained
Optimization Techniques
Advantages of Deep Learning Models
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