AD3511 - Deep Learning Laboratory Syllabus Regulation 2021 Anna University

We included the proper textbooks and references to assist in some way in your preparation. It will enhance your preparation and strategies to compete with the appropriate spirit with others in the examination. If you see, you can find the detailed syllabus of this subject unit-wise without leaving any topics from the unit. In this article AD3511 – Deep Learning Laboratory Syllabus, You can simply read the following syllabus. Hope you prepare well for the examinations. I hope this information is useful. Don’t forget to share with your friends.

If you want to know more about the syllabus of B.Tech Artificial Intelligence And Data Science connected to an affiliated institution’s four-year undergraduate degree program. We provide you with a detailed Year-wise, semester-wise, and Subject-wise syllabus in the following link B.Tech Artificial Intelligence And Data Science Syllabus Anna University, Regulation 2021.

Aim of Objectives:

  • To understand the tools and techniques to implement deep neural networks.
  • To apply different deep learning architectures for solving problems.
  • To implement generative models for suitable applications.
  • To learn to build and validate different models.

List Of Experiments:

  1. Solving XOR problem using DNN.
  2. Character recognition using CNN.
  3. Face recognition using CNN.
  4. Language modeling using RNN.
  5. Sentiment analysis using LSTM.
  6. Parts of speech tagging using Sequence to Sequence architecture.
  7. Machine Translation using Encoder-Decoder model.
  8. Image augmentation using GANs.
  9. Mini-project on real world applications.

Related Posts On Semester – V:

You May Also Visit: