Following the Singapore Government’s announcement on 7 Feb raising the DORSCON level of COVID-19 to Orange, and in consultation with our partners, SGInnovate will be suspending our community events and large workshops with immediate effect until 22 March 2020. We want to be a responsible community while we are closely monitoring the situation.
We are confident that all will be well, and will be in touch as soon as it is deemed safe to resume hosting our events and workshops.
Together with Red Dragon AI, SGInnovate is pleased to present the fourth module of the Deep Learning Developer Series. In this module we dive deeper into some of the latest techniques for using Deep Learning through unsupervised, self-supervised and reinforcement learning.
Development in Quantum technologies has seen remarkable progress over the last few years. Basic functional Quantum computers are already available through cloud access, with sizeable well-capitalised technology companies racing to develop more powerful Quantum computers. Governments worldwide are also evaluating and launching research, development and talent programmes to prepare for the Quantum future.
Together with Red Dragon AI, SGInnovate is pleased to present the Deep Learning Developer Series. Back by popular demand, the Deep Learning Jumpstart workshop is the first module of the Deep Learning Developer Series. This two-day workshop is designed to introduce you the skills needed to start your journey as a Deep Learning Developer. By the end of the workshop, expect to be empowered with the ability to take your newfound Deep Learning knowledge and apply it to your job / projects straight away!
Together with Red Dragon AI, SGInnovate is pleased to present the third module of the Deep Learning Developer Series. In this module we dive deeper into some of the latest Deep Learning techniques for text and time series applications.
“Machine Learning for Humans” seeks to develop the cognitive capacities of participants, to help them think like a Data Scientist. These include learning to frame problem statements using the lens of Data Science, understanding the data requirements, and designing and selecting the most appropriate Machine Learning models that can be used to address various problem statements. Upon completion of the course, participants will receive a Certificate of Completion issued by Ngee Ann Polytechnic.