Gentle Introduction To Neural Networks

Categories: Neural Networks AI Machine Learning

In this presentation, we will introduce neural networks slowly. First, we will describe the process of learning machine learning. Then, we will discuss the tools typically involved with machine learning and neural networks. The core of this presentation is taking small steps to achieve a big goal: understanding a neural network. This presentation assumes that the audience knows nothing about the internals of machine learning.

  • Neural Networks

  • Input Layers, Hidden Layers, Output Layers

  • Activation Functions

  • Cost/Loss Functions

  • Backpropagation

  • Types of Neural Networks (CNNs, RNNs)

  • Common challenges in training neural networks (overfitting, vanishing gradients)

  • Where are neural networks used? (LLM, image recognition, natural language processing, self-driving cars)

  • Tools available and how are they served?

  • Ethics in AI