Deep Learning

Deep learning is the real revolution in AI. You'll learn how artificial neural networks work and how to build models for computer vision and natural language processing using PyTorch and TensorFlow.

32 lessons

28h

4 projects

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Who is this course for?

✓Those who completed Machine Learning
✓Ambitious AI developers
✓AI researchers

What you'll learn

Basic neural networks

Convolutional Neural Networks (CNN)

Recurrent Neural Networks (RNN)

Transformers and Attention

Building and deploying models

Course Content

1Neural Networks: Core Concepts

🎥45 min

2Backpropagation and how networks learn

🎥50 min

3PyTorch: Getting Started

🎥40 min

4CNN for Computer Vision

🎥60 min

5Project: Image Classification

🔨120 min

✅ Test Your Knowledge

Q1.What is Backpropagation?

Related Projects

🔍

RAG Knowledge Base

advanced • Python, LangChain, ChromaDB

Skills Gained

PyTorchTensorFlowCNNRNNTransformers

Required Tools

🔧PyTorch
🔧TensorFlow
🔧Google Colab
🔧Hugging Face

Related Courses

⚙️Machine Learning ✨Generative AI

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