Join us for an insightful session, where we will explore the training process, loss functions, optimizers, and evaluating model performance using metrics and validation. π What's in Store: π©βπ» Hands-on Training: Dive into programming as we explore the training process of neural networks. π Loss Functions and Optimizers: Learn about different loss functions and optimizers used in training neural networks. π Evaluating Model Performance: Understand how to evaluate the performance of your model using metrics and validation. Speaker: Kamakshi Bali Date: 3rd January, 2024 Time: 3:00 PM Save the date, set a reminder, and join us for an insightful session!