Martin Isaksson is Co-Founder and CEO of PerceptiLabs, a startup focused on making machine learning easy. PerceptiLabs created a flexible machine learning platform that gives developers full transparency into the process of machine learning models’ development.
Martin received his M.Sc. in Robotics/Artificial Intelligence from the Royal Institute of Technology and UPC Barcelona in 2017.
In the summer of 2017 Martin presented a Deep Neural Network that he built for segmentation of muscular stem cells in microscopy images, at the first Deep Learning symposium in Sweden (SSDL2017).
Upcoming Abstract Summary
How to enable warp speed for Machine Learning modeling
Machine Learning frameworks undeniably went through a mind-blowing evolution over the last 4 years. The multiple iterations created various trends, one of which has put a bright spotlight on the importance of the framework’s interface. Developers want the flexibility and transparency of low-level APIs in their work with high-level APIs. TensorFlow 2.0, Keras and PyTorch are making steps to solve this nontrivial puzzle, however wrapping the low-level APIs makes it tedious to write boilerplate code for visualizations of different variables during runtime. We are introducing a unique flexible ML platform that gives developers full transparency into the process of machine learning models’ development, and enables fast model iteration.