Artificial Intelligence

 Various Hyper Parameters In Neural Networks

• Understand about challenges in Gradient
• Introduction to various Error, Cost, Loss functions
• ME, MAD, MSE, RMSE, MPE, MAPE, Entropy, Cross Entropy
• Vanishing / Exploding Gradient
• Learning Rate (Eta), Decay Parameter, Iteration, Epoch
• Variants of Gradient Descent
• Batch Gradient Descent (BGD)
• Stochastic Gradient Descent (SGD)
• Mini-batch Stochastic Gradient Descent (Mini-batch SGD)