Deep Learning 101

About this Course

This course intends to provide a foundation to neural networks and Deep Learning. The important components like loss functions, activation functions are discussed in details. The different choice of optimisers and regularisation techniques are also covered in this course. The course also introduces the TensorFlow environment for implementing the deep neural networks. 


What will you learn
  • After attending the course, the participant  will develop an understanding of perceptrons, multilayer perceptrons etc. will understand the need and design consideration of loss fucntion, activation function, backpropagation,optimisers etc. will be able to implement classification and regression tasks using TensorFlow


No prerequisites


  • 4 Sections