The Neural Network Mysteries: Under the Hood of AI

Technology

The Neural Network Mysteries: Under the Hood of AI

Decoding the secrets of neural networks step by step, this series will guide technology enthusiasts, industry professionals, and CS students through the intricate world of neural networks—from their historical roots to future implications.

8 episodes59 min total

What you'll learn

Course outline

Episode 1: The Birth of Neural Networks

Explore the early history of neural networks, tracing back to foundational theories and the key innovations that sparked modern AI. Understand the historical context and...

Episode 2: Inside a Perceptron: Basics Explained

Delve into the fundamental structure of a perceptron, the simplest form of a neural network. Learn how perceptrons process information through inputs, weights, and output...

Episode 3: From Input to Output: Activation Functions

Discover how activation functions transform inputs into outputs in neural networks. Explore different types of activation functions and their roles in creating non-linear...

Episode 4: The Secret Sauce: Backpropagation

Unveil the role of backpropagation in training neural networks. Understand how this algorithm adjusts weights to minimize error, making models more accurate over time.

Episode 5: Unpacking Convolutional Networks

Dive into convolutional neural networks and their application in image processing. Examine how these networks use layers and feature mapping to identify patterns and deta...

See all 8 episodes

Episodes

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