Highlights of Tensorflow Dev Summit 2018 From Infra Engineer’s perspective

Quickly watched talks related to infra and here are highlights from my personal interests. 1) Tensorflow Hub. Link: https://www.tensorflow.org/hub/ This is definitely a must-to-have piece in Tensorflow. Existing TF training is based on copy-paste model. Assume you're a machine learning engineer and wants to use a pre-trained inception V3 network. You have to write lots … Continue reading Highlights of Tensorflow Dev Summit 2018 From Infra Engineer’s perspective

Maximum Likelihood Estimation, Cross Entropy and Deep Learning Network

Reading Ian Goodfellow's Deep Learning Book recently, the 5th chapter (Machine Learning Basics) is really great. Comparing to Bishop's Pattern Recognition and Machine Learning, it includes less mathematics and formulas which is good for a casual read. Today I want to share the topic of maximum likelihood estimation (MLE) which might not be straightforward to … Continue reading Maximum Likelihood Estimation, Cross Entropy and Deep Learning Network