AI Udaan syllabus · Week 13
Neural Networks Basics for AI Developers
Neural networks stack layers of artificial neurons to learn complex patterns — image edges, text sentiment, speech. AI Udaan Week 13 covers neurons, perceptrons, activation functions, forward propagation, and backpropagation before TensorFlow practice.
From classical ML to neural nets
If regression and classification are linear tools, neural networks add non-linearity and depth. The gradient concepts from earlier weeks connect directly to backpropagation training.
What you build toward
Week 14 moves into TensorFlow and Keras model building. Week 13 ensures you understand why networks learn, not just how to call `.fit()`.
Covered in AI Udaan
- Artificial neurons and perceptron
- Activation functions
- Forward propagation
- Backpropagation fundamentals
Go deeper with the full bootcamp
This guide is a free overview. AI Udaan is a 16-week mentor-led Python with AI/ML bootcamp — live classes, assignments, projects, certificate, and career support for learners across Nepal.
FAQ
Do I need advanced math for neural networks in AI Udaan?
Core ideas are taught visually and practically with Python. Prior regression/classification weeks cover the gradient intuition you need.
Related AI guides
Book a free consultation if you are unsure whether AI Udaan fits your goals.