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Powering your application with deep learning is no walk in the park, but is certainly attainable with some tricks and good practice. Serving a deep learning model on a production system demands the model to be stable, reproducible, capable of isolation and to behave as a stand-alone package. One possible solution to this is a containerized microservice. Ideally, serving deep learning microservices should be quick and efficient, without having to dive deep into the underlying algorithms and their implementation. Too good to be true? Not anymore! Together, we will demystify the process of developing, training, and deploying deep learning models as a web microservice using Model Asset Exchange, an open source framework developed at the IBM Center for Open Source Data and AI Technologies (CODAIT). Agenda: 6:30 pm - 7:00 pm - Food/Socializing. 7:00 pm - 8:00 pm - Talk on deep learning microservices 8: 00 pm - 9:00 pm - Walk through some super cool applications such as automatic image cropping, age estimation from videos/webcam and Veremin - a video theremin. we conclude by inviting contributions and opening the gates for you to be a part of this amazing initiative! Speaker bio: Saishruthi Swaminathan is a developer advocate and data scientist in the IBM CODAIT team whose main focus is to democratize data and AI through open source technologies. She has a Masters in Electrical Engineering specializing in Data Science and a Bachelor degree in Electronics and Instrumentation. Her passion is to dive deep into the ocean of data, extract insights and use AI for social good. Previously, she was working as a Software Developer. On a mission to spread the knowledge and experience, she acquired in her learning process. She also leads education for rural children initiative and organizing meetups focusing women empowerment.
There are now many online courses available for learning a new software domain. Paid or free. Monthly subscription, one time fee. With or without certification. Between options of Udacity, Coursera, EdX, Udemy courses, it's hard to choose between all of these with limited amount of time and budget spending. Are these courses worth it? Are some better than the others? What courses have others taken? Let's enjoy a casual coffee chat session to discuss what you've tried out or curious to try! One of our members, Logan Sargsyan, has taken a variety of Machine learning/AI/python courses from all of the above MOOC platforms, and will be sharing some of her experiences regarding: - Why did those specific ones get chosen? - How did she find out about these courses? - How long did it take to complete? How did she stay motivated to finish it all? - Did the courses help with advancing her career? Courses taken include: Udacity ML Nanodegree, Coursera - Deep Learning Specialization with deeplearning.ai, EdX - AI MicroMaster Degree with Columbia University, plus other courses for Python (Udemy, Udacity), Statistics and Probability (Udacity), GCP (Coursera). This is intended to be a small group session where you can freely discuss and ask questions. Please RSVP only if interested in learning more.
42 Silicon Valley is proud to announce the launch of our Women Speaker Series which will be every first Tuesday of the month at 7pm. This is an opportunity to empower more women to speak about all things tech and business. Anyone is welcome to attend, no matter what your gender identity. If you are interested in attending please RSVP as we have a limited number of spaces for each event. If you would like to be a speaker please contact Rene Ramirez at [masked] with a short biography, a topic which you would like to speak on, a brief outline of the presentation that you would like to give in addition to your dates of availability.
Come to a workshop on developing Hyperledger Fabric applications in the IBM Cloud! You will learn how to design Supply Chain applications and deploy them in the IBM cloud. The focus in the workshop will be on designing and creating Smart Contracts, which are the cornerstone of Hyperledger applications. We will provide an overview of development resources and use cases and then dive into hands-on programming of Smart Contracts, also known as Chaincode. You will then learn how to deploy and run your app in the IBM cloud. So come and learn how to develop Hyperledger Fabric apps in the Supply Chain and Cloud space! Agenda : 6:30 - 7:00 p.m. Food, Drinks, Networking 7:00 -8:00 p.m Discussion and workshop 8:00 - 9:00 p.m Wrap up, Q&A, more networking