Welcome to the Deep Learning Fundamentals section of our AI Learning Path. Here, we will cover the essential concepts and techniques that form the foundation of deep learning.
Overview
Deep learning is a subset of machine learning that structures algorithms in layers to create an "artificial neural network" that can learn and make intelligent decisions on its own.
Key Concepts
- Neural Networks: The basic building blocks of deep learning, inspired by the human brain.
- Layers: Composed of neurons that perform computations.
- Activation Functions: Determine whether a neuron should be activated or not.
- Backpropagation: An algorithm used to update the weights of the neurons.
Learning Resources
To further explore deep learning, we recommend the following resources:
Images
By understanding these fundamentals, you will be well on your way to mastering deep learning and its applications. Happy learning!