en/Courses/Tutorials/Machine_Learning/Deep_Learning

Deep Learning Tutorial - Machine Learning Course 🧠

Welcome to the Deep Learning section of our Machine Learning course! This guide will walk you through the fundamentals of deep learning and its applications in modern AI.

Key Concepts in Deep Learning 📊

1. Neural Networks 🤖

   • The building blocks of deep learning, inspired by biological neurons.
   • Example: Artificial_Neuron
   • Learn more about Neural_Networks

2. Backpropagation 🔄

   • A critical algorithm for training neural networks by adjusting weights.
   • Visualization: Backpropagation_Process

3. Activation Functions 📈

   • Non-linear functions like ReLU, Sigmoid, and Tanh.
   • Example: ReLU_Function

4. Deep Learning Frameworks 🧰

   • Popular tools: TensorFlow, PyTorch, and Keras.
   • Explore Deep_Learning_Frameworks for hands-on practice

Practical Applications 🌍

• Image recognition: CNN_Example
• Natural Language Processing: NLP_Model
• Reinforcement Learning: RL_Simulation

For advanced topics, check out our Deep Learning Advanced module! 🚀