Tensorflow tutorial
A quick complete tutorial to save and restore Tensorflow 2.0 models
Update: This article has been updated to show how to save and restore models in Tensorflow 2.0. If you want to learn the same with Tensorflow1.x, please go to this earlier article that explains how to save and restore Tensorflow 1.x models. In this Tensorflow 2.X tutorial, I shall explain: What is a Tensorflow-Keras Model API? […]
Continue ReadingNSFW Tensorflow: Identifying objectionable content using Deep Learning
In today’s post, we would learn how to identify not safe for work images using Deep Learning. Not-Safe-For-Work images can be described as any images which can be deemed inappropriate in a workplace primarily because it may contain: Sexual or pornographic images Violence Extreme graphics like gore or abusive Suggestive content For example, LinkedIn is […]
Continue Reading
TensorFlow 2.0 Alpha : Let seek the New in the Old
The baby boomers to generation z popularly known as Post-Millennials are all living in an impressionable moment of history now, where technologies like machine learning, deep learning and reinforcement learning are witnessing an unparalleled revolution of all time. The ability to solve challenging real-world problems has been revitalized by the ML framework on steroids […]
Continue Reading
Choosing a Deep Learning Framework: Tensorflow or Pytorch?
One of my friends is the founder and Chief data scientist at a very successful deep learning startup. 2017 was a good year for his startup with funding and increasing adoption. However, on a Thursday evening last year, my friend was very frustrated and disappointed. The framework on which they had built everything in last […]
Continue Reading
Freeze Tensorflow models and serve on web
In this tutorial, we shall learn how to freeze a trained Tensorflow Model and serve it on a webserver. You can do this for any network you have trained but we shall use the trained model for dog/cat classification in this earlier tutorial and serve it on a python Flask webserver. So you trained a new […]
Continue Reading
