How to Improve Training your Deep Neural Network in Tensorflow 2.0

Simon Hawe
Towards Data Science
4 min readOct 30, 2019

--

Taken from http://www.merzpraxis.de/index.php/2016/06/13/der-suchende/

When it comes to building and training Deep Neural Networks, you need to set a massive amount of hyper-parameters. Setting those parameters right has a tremendous influence on the success of your net and also on the time you spend heating the air, aka training you model. One of those parameters that you always have to choose is the so-called learning rate (also known as update…

--

--

Tech and programming enthusiast working at Joyn mainly focusing on data sciene, machine learning, data engineering, and python coding.