Deep Learning Tutorials

Welcome to our collection of deep learning tutorials! Whether you are a beginner or an experienced AI practitioner, these tutorials will help you dive deeper into the fascinating world of deep learning.

Introduction to Deep Learning

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: Basic building blocks of deep learning.
• Activation Functions: Determine whether a neuron should be activated or not.
• Backpropagation: Algorithm used to train neural networks.

Tutorials

Here are some of the tutorials we have available:

• Neural Networks 101
• Activation Functions Explained
• Backpropagation in Depth

Deep Learning Projects

If you are looking for some hands-on projects, check out our Deep Learning Projects section.

Useful Resources

• TensorFlow Documentation
• PyTorch Tutorials

Deep Learning with Keras

Keras is an open-source software library that provides a Python interface for artificial neural networks. It is capable of running on top of TensorFlow, CNTK, or Theano.

• Keras Quick Start Guide
• Keras Models

Community

Join our Deep Learning Forum to connect with other deep learning enthusiasts, ask questions, and share your knowledge.

Deep Learning Neural Network