Deep Learning

Duration: : 3 Months (60 hrs.)

Objective :

The course is intended to expose students with the recent developments in the field of Deep Artificial Neural Networks (DANN). The course will present and detail the specific techniques which are involved in their applications, such as transfer learning and fine tuning for CNNs, backpropagation through time, together with the issues which appear in their implementation and practical usage.

Topics to be covered :

  • Linear Regression With Tensorflow
  • Logistic Regression With Tensorflow
  • Activation Functions
  • Convolutional Networks
  • Recurrent Neural Network
  • Restricted Boltzmann Machines (RBM)
  • Autoencoders

Target Students :

Any person having a knowledge in programming, mathematics and fundementals of machine learning and currently studying or having a degree in Engineering, Science, Management and Finance.