The Participants were able to learn the Introduction to AI Vs ML Vs DL, Evolution of Deep Learning and Introduction to Neural Networks that includes Woking of a Neural Network, Neural Network Equation and Activation Functions. The session also delves into the hands on session for Building a Neural Network from scratch, Forward Propagation, Loss Functions, Mathematical computation on Gradient Descent Algorithm and Backward Propagation. The participants were able to tune the hyperparameters and also performed Optimization & Regularization Techniques. Atlast the speaker covered various types of Neural Networks, its architecture and working with real time applications.
KPRIET – An AI Integrated Campus
Preparing future-ready engineers with AI-integrated teaching and learning. KPRIET integrates Artificial Intelligence across teaching, learning, research and innovation to create a smarter, future-ready campus experience for students and faculty.