The programme is open to the faculty of engineering colleges, degree colleges, MCA colleges and other allied disciplines in India.
• ML Terminology, Data analysis,
• Logistic regression
• Jupiter Notebook, TensorFlow
• Multi-layer Perceptron, Activation functions
• Deep neural networks, Transfer Learning
• AWS ML services
• Sagemaker Studio, ML examples
• Cloud Computing categories
• Multi-tier architecture Virtualization
• Amazon Elastic Compute Cloud (EC2), IAM
• Storage services: EBS, EFS, S3
• Virtual Private cloud, DNS Route53, Cache services
• AWS use cases
• Containerization and Docker
• AWS IoT services, AWS Machine Learning services
• Introduction to spiking neural networks (SNNs)
• Brain Inspired Computing and ANN vs SNN
• Neurons in Silicon, Spiking neuron models
• Neuron and Synapse computational models
• Liquid State Machine, Learning in SNNs
• Spike Timing Dependent Plasticity learning (STDP)
• Hardware Architecture for SNNs using liquid
state machine computational model
| Faculty and Research Scholars | Rs. 750/- |
| Industry Participants | Rs. 2250/- |
Participants are required to fill the online registration form by clicking on the following link:
Registration Link:
https://forms.gle/9qUw6eEbCYhcoQK56
Dr. Lakshmi Narayana Thalluri,
Associate Professor,
Dept. of ECE,
Andhra Loyola Institute of Engineering and Technology,
Vijayawada-520008.
Email: drtln@aliet.ac.in
Mobile:+91 8686000546
Registration Link:
https://forms.gle/9qUw6eEbCYhcoQK56