This session will help beginners in Machine Learning understand core concepts, introduce the MNIST image database, and provide a code walk-through of an image classifier built using TensorFlow. AGENDA:
10:00 AM - 10:15 AM - Welcome note
10:15 AM - 10:30 AM - Machine Learning and Types of Machine Learning
10:30 AM - 11:00 AM - Linear regression with one variable and Linear regression with multiple variables
11:00 AM - 11:15 AM - Introduction to neural networks
11:15 AM - 11:30 AM - Introduction to Convolution, Pooling, Softmax, relu, etc
11:30 AM - 12:00 PM - Code walk-through of MNIST image classifier using TensorFlow
12:00 PM - 12:30 PM - Open discussions and networking
FEE: The meetup is free to attend but seats are very limited, so please register early.
REGISTRATION: RSVP "Yes” here to reserve your seat.
Saurabh Bansal, Software Engineer, GRoboMac
Saurabh Bansal is currently working with GRoboMac as a Software Engineer. GRoboMac brings in advance robotic technology for picking cotton and other horticulture cash crops. Prior to GRoboMac, Saurabh has worked with Phytec, Robert Bosch, Secure Meters. He has a BTech in Electronics and Instrumentation. He has expertise in embedded systems, IoT and Machine Learning and works extensively in building solutions to long-standing problems.
Looking forward to seeing many of you there!
If you find these types of activities/opportunities in AI and IoT valuable, you may be interested in our upcoming platform. You can pre-register here to get early access to it: http://www.appliedsingularity.com/pre-register