Neural Network Fundamentals

Understanding the basics of neural networks and their building blocks

Neural Network Fundamentals  

Introduction  

Neural networks form the foundation of modern deep learning systems. Understanding their basic principles is crucial for developing more complex architectures.

Key Concepts  

Perceptron  

The basic unit of computation in neural networks.

Activation Functions  

• ReLU
• Sigmoid
• Tanh
• Softmax

Backpropagation  

The algorithm used for training neural networks through gradient descent.

Applications  

• Image Classification
• Natural Language Processing
• Time Series Prediction