Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. I have recently installed Anaconda, TensorFlow, and Keras in my laptop PC as part of my Deep Machine Learning (DML) plan. I am reading two books in for my learning effort in parallel: MIT's Deep Learning book … Continue reading Keras and IMDB: Love, hate, sex and money
by Bernard Murphy (*) I found a recent Wired article based on a TED talk on consciousness. The speaker drew a conclusion that consciousness was not something that could ever be captured in a machine and was a unique capability of living creatures (or at least humans). After reading an article on the the TED talk and … Continue reading Can AI be Conscious?
By Bernard Murphy (*) Machine learning (ML) is the hot new technology of our time so EDA development teams are eagerly searching for new ways to optimize various facets of design using ML to distill wisdom from the mountains of data generated in previous designs. Pre-ML, we had little interest in historical data and would … Continue reading Machine Learning Optimizes FPGA Timing
by Bernard Murphy (*) Deep learning, modeled (loosely) on the way living neurons interact, has achieved amazing success in automating recognition tasks, from recognizing images more accurately in some cases than we or even experts can, to recognizing speech and written text. The engineering behind this technology revolution continues to advance at a blistering pace, so … Continue reading How Deep Learning Works, Maybe
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of the textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book, "Understanding Machine Learning: From theory to Algorithms", provides a theoretical account of the fundamentals underlying machine learning and … Continue reading Understanding Machine Learning – free book