College/University/Organization Name: Kongunadu College of Engineering and Technology
Organizing Department: computer science and engineering
Event Date: 09/14/2018 -- 09/15/2018 (MM/DD/YYYY)
Last Date: 09/07/2018 (MM/DD/YYYY)
Address: Trichy, Tamilnadu, India
Registration Fee:
600
College/University/Organization Website: http://www.kongunadu.ac.in
Event Website / Brochure link: http://www.kongunadu.ac.in/images/PDF/Workshop-on-Deep-Learning.pdf
Email Address: preethi1.infotech@gmail.com
About Event:
Basics of Machine Learning: Classification & Regression
Research Methodologies in Machine Learning
Introduction to Scikit-learn and other python packages
Load and Explore dataset with pandas.
Deep Neural Classification
RNN-LSTM time series analysis
CNN-convolutional image classification
Installation-TensorFlow, Keras, and Python.
The workshop attendees will gain the following practical hands-on experience:
How to prepare, normalize, and encode data for deep learning systems.
How to install deep learning libraries including TensorFlow, Keras, and CNTK, and the pros and cons of each library.
How to create deep learning predictive systems for various kinds of data: classical business data, time series data (sales data), image data (MNIST dataset for handwriting recognition).
Research Methodologies in Machine Learning
Introduction to Scikit-learn and other python packages
Load and Explore dataset with pandas.
Deep Neural Classification
RNN-LSTM time series analysis
CNN-convolutional image classification
Installation-TensorFlow, Keras, and Python.
The workshop attendees will gain the following practical hands-on experience:
How to prepare, normalize, and encode data for deep learning systems.
How to install deep learning libraries including TensorFlow, Keras, and CNTK, and the pros and cons of each library.
How to create deep learning predictive systems for various kinds of data: classical business data, time series data (sales data), image data (MNIST dataset for handwriting recognition).
Who Can Participate?
students
faculty
research scholars
faculty
research scholars
Accommodation Details:
yes
Other Details:
If you have any doubt kindly visit our website.All detail will be uploaded in our college website.
Contact Details:
Ms.Preethi
Assistant professor
kongunadu college of Engineering and technology
7708807930
preethi1.infotech@gmail.com
Assistant professor
kongunadu college of Engineering and technology
7708807930
preethi1.infotech@gmail.com
For any clarification about this event, please contact the above mentioned address.
Workshop on Deep Learning-2018-kongunadu college of Engineering and technology-Trichy-Tamilnadu-India
See Also
Deep Learning-Trichy-2018-kongunadu college of Engineering and technology-tamilnadu