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Deep Learning with Python Training program at C-DAC – Apply Now>> Nominations are invited from Scientists, Technologists & Student community for the training programme in Deep Learning using Python. The course will introduce various concepts of machine learning with hands on using python. Delve into major deep learning algorithms, the problem settings, and their applications to solve real world problems having high-dimensional data, such as images, speech and text. Special emphasis will be on convolutional and recurrent neural architectures.

Course Details

Course Duration Jan 20, 2020 – Feb 14, 2020 [20days, Full Time]
Closing date for duly filled Application form Jan 16, 2020
Target Group Scientists/ Researchers/ Academicians/ Tech-enthusiasts, students keen to learn and adopt expertise in AI/ML/DL
Venue of training C-DAC, Technopark Campus, Trivandrum – 695 581
Course Fee Rs. 12,000 + applicable taxes
Topics Introduction to Python Classical Machine Learning Supervised Learning Unsupervised Learning Introduction to Deep Learning Deep learning networks Convolutional Neural Network (CNN) Generative Adversarial Networks (GAN) Recurrent neural networks (RNN) Long short term memory (LSTM) Gated Recurrent Unit (GRU) Case Studies
No. of seats 25
Age limit No limit
Submission Method By post or email with necessary documents on email ids [email protected] with a copy to [email protected]

For Further Details Please Contact:

Program Coordinator

C-DAC, Technopark Campus, Trivandrum – 695 581

Ph. No +91 8547882754, 0471 – 2781500 (Ext:223)

Emails: [email protected]

[email protected]

Other Training Programs offered by C-DAC, Technopark

Diploma Programmes [12 weeks], NEW BATCH STARTS ON 10 FEB 2020

  • Diploma in Web Technologies
  • Diploma in Embedded System and IOT
  • Diploma In Cyber Security And Forensics

Short Term Courses

  • Java programming
  • Java Android
  • Advanced Java
  • .Net Technologies
  • Web Development using LAMP
  • Embedded Programming and Open Hardware

For more details

  • Landline: 0471-2781500
  • Mobile: 8547882754

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