TensorFlow Tutorial 5 - Adding Regularization with L2 and Dropout

In this video we build on the previous video and add regularization through the ways of L2-regularization and Dropout. There are more ways of regularization such as Early Stoppage and Data Augmentation which we will also look at in future videos.

In this video we build on the previous video and add regularization through the ways of L2-regularization and Dropout. There are more ways of regularization such as Early Stoppage and Data Augmentation which we will also look at in future videos, but for now we keep it simple and use L2 and Dropout!

tensorflow

An end-to-end open-source platform for Machine Learning. Before we start with TensorFlow, we will need to know what machine learning and deep learning technologies are.

This article investigates TensorFlow components for building a toolset to make modeling evaluation more efficient. Specifically, TensorFlow Datasets (TFDS) and TensorBoard (TB) can be quite helpful in this task.

Keras vs Tensorflow - Learn the differences between Keras and Tensorflow on basis of Ease to use, Fast development,Functionality,flexibility,Performance etc

Deploy a Deep Learning Model to Production using TensorFlow Serving.

While completing a highly informative AICamp online class taught by Tyler Elliot Bettilyon (TEB) called Deep Learning for Developers, I …