Deep Learning Series #3 | Building Blocks of Neural Networks | Beginner’s Guide to AI

#AIvsMLvsDL #deeplearning #buildingblocksNN #learntechtotech #rakeshroshan #learnfromrakesh

What you’ll learn:
1.What artificial neurons are and how they process data
2.The structure and function of layers in a neural network
3.Different types of activation functions (like ReLU, Sigmoid, Tanh)
4.The role of weights, biases, and how learning happens
5.How neural networks make predictions and get trained with real data

Whether you’re just starting out or brushing up your basics, this guide uses simple explanations and visuals to make neural networks easy to understand.

Why watch?
Neural networks are the foundation of today’s most exciting AI applications—like image recognition, voice assistants, and language translation. Mastering their building blocks is your first step toward creating powerful AI!

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