Deep learning is a subset of machine learning that has gained significant attention in recent years. It focuses on learning representations from data through a layered structure of algorithms. Here are some resources to help you get started with deep learning.
Key Concepts
- Neural Networks: The fundamental building blocks of deep learning.
- Activation Functions: Used to introduce non-linearity into the network.
- Backpropagation: A technique used to train neural networks.
Resources
- Introduction to Deep Learning: A comprehensive guide to the basics of deep learning. Read more
- Neural Networks Explained: A detailed explanation of neural networks. Read more
- Deep Learning with TensorFlow: A practical guide to using TensorFlow for deep learning. Read more
Learning Paths
- Beginner's Guide to Deep Learning: A step-by-step guide for beginners.
- Advanced Deep Learning Techniques: For those looking to dive deeper into the field.
Tutorials
- Building a Neural Network from Scratch: Learn how to build a neural network from the ground up.
- Implementing Deep Learning Models: Tutorials on implementing various deep learning models.
Community
- Deep Learning Forums: Join the community and discuss deep learning topics. Join here
Neural_Networks
Activation_Functions
Backpropagation