FDP on Artificial Intelligence & Deep Learning at Universal College of Engineering, Vasai [Jan 13-17, 2020]: Register by Dec 30
Electronics and ICT Academy is an initiative of the Ministry of Electronics & Information Technology (MeitY), Govt. of India for conducting various Faculty/ Research Scholar Development Programme. Course Objective is to provide basic knowledge in Deep Learning and Artificial Intelligence concepts.
The program will focus on practical aspects and include examples that are relevant to the current industry requirements. FDP is split into three parts: Lectures, Labs/Hands-on sessions daily on Python Programming., Assignments and Projects. Also, the Academy will conduct specialized/customized training programs and research promotion workshops for the corporate sector & educational institutions.
- About the dataset Processing
- Regression Techniques for Information Retrieval
- Classification Techniques
- Libraries used for NLP
- Research Trends in NLP
- Application of NLP for real-world applications
- How do Neural Networks work?
- the activation Function
- How do Neural Networks learn?
- Gradient Descent, Stochastic Gradient Descent, Backpropagation
- Introduction to deep learning
- Neural networks basics
- Deep neural networks
- Introduction tensor flow
- Convolutional neural networks
- Computer vision applications
- RNN, LSTM, GRU models
- Application to NLP and Speech Recognition
Assignments will be of the following type:
- MCQ based questionnaire.
- Programming Assignments (Problem statement will be provided.)
- At the end of the course “Project” will be assigned to the participants which will be based on the Practical Case Studies.
- Rs. 2,950/- for Faculty and Ph.D. Research Scholar.
- Rs. 1,475/- for ST/SC Faculty and Ph.D. Research Scholar.
- Rs. 5,900/- for Student, Industry Personnel, & Others (Subjected to Availability of Seat).
- Accommodation (on request with the nominal price on the self-paid basis)
Interested candidates can register online by clicking here.
The last date to register is December 30, 2019.
Phone Number: +91- 7086502139
Email ID: email@example.com
For further details, click here.
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