Deep Learning for Time Series Data - Online Mode

Who should attend

The programme is open to the faculty of engineering colleges, degree colleges, MCA colleges and other allied disciplines in India.

Course Content

• Introduction to Artificial Intelligence,
Machine Learning, Deep Learning
and Representation Learning
• Time series Forecasting Approaches
• Deep Learning Regularization Techniques:
L1, L2, Noise Injection,
Data Augmentation, Dropout,
Ensemble, Parameter Sharing, etc.
• Basics of TensorFlow/Keras/PyTorch/Python
• CNN Architecture and Advanced Models
• Object detection RCN and FRCNN
• Recommendation Systems, BERT
• Computer Vision Applications:
Image Classification, Object Recognition
and detection using TensorFlow
• RNN Architecture and LSTM, Google Colab
• Natural Language Processing (NLP)
Applications : Machine Translation
using TensorFlow/PyTorch
• Adversarial Neural Networks and
Different type of GAN’S
• Transformers and Applications
• Current Research In DL – Architectures,
Applications
• Hands on Sessions on CNN’S

Registration Fee

Faculty and Research Scholars	Rs. 750/-
Industry Participants	Rs. 2250/-

The Participants need to pay the Registration Fee Online using the following details:
On-line Mode:
Account Name: Electronics & ICT Academy NITW
Account No: 62423775910
IFSC Code: SBIN0020149

How to Apply

Participants are required to fill the online registration form by clicking on the following link:

Registration Link:
https://forms.gle/fg76e7LMdZ3ssA1o9