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Deep Learning

Introduction to Neural Networks and Deep Learning.

What You'll Learn​

  • What are Neural Networks?
  • Perceptrons and multi-layer networks
  • Activation functions
  • Backpropagation
  • Training neural networks
  • TensorFlow and PyTorch overview

Prerequisites​

  • Machine Learning basics
  • Python programming
  • Mathematics for AI

Course Duration​

Approximately 1.75 hours

Neural Network Architecture​

Input Layer → Hidden Layers → Output Layer

Key Concepts​

  • Neurons and weights
  • Bias terms
  • Forward propagation
  • Backpropagation
  • Gradient descent

Frameworks​

  • TensorFlow / Keras
  • PyTorch
  • JAX

Next Steps​

Explore specialized areas: NLP, Computer Vision, or Generative AI!