Machine Learning for Engineering & Science Applications | IIT Madras - #48 Summary of Week 05 | Machine Learning for Engineering & Science Applications

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture summarizes the concepts covered in week 5 of the course. Deep learning is defined as a network with more than one hidden layer. Hyperparameter optimization is a big problem in neural networks. In addition to alpha, which is your learning rate, and lambda, which is your regularization parameter, the number of neurons and the number of layers per neuron are also treated as hyperparameters. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #DeepLearning #NeuralNetwork #HiddenLayers #HyperparameterOptimization #LearningRate #RegularizationParameter