Category: Deep Learning

In this part of the Deep Learning with Keras series, we will learn some of the most useful concepts. We will cover topics like Callbacks in Keras, saving models and restoring models. You will also learn about Tensorboard visualization which is an important part of Keras callbacks and analyzing and training models. This is the […] ...

In this article, we will be using Keras for regression. In classification, we predict the discrete classes of the instances. But in regression, we will be predicting continuous numeric values. We will use Keras to build our deep neural network in this article. This is the fourth part of the series Introduction to Keras Deep Learning.Part […] ...

In this post, we are going to learn about the Keras Sequential Model and how to use it to build our own deep neural network. If you are following this tutorial series, then this is going to be your first major step in deep learning with Keras. We will be using Keras deep learning to […] ...

Keras makes approaching deep learning easy, especially for those who are just starting out. In this article, we will learn some of the most important features and functions of Keras along with the Sequential API. This is the second part of the series Introduction to Keras Deep Learning.Part 1: Getting Started with Keras.Part 2: Learning about […] ...

Starting to learn deep learning can be a really intimidating task. Most people start with traditional machine learning with Scikit-Learn. Then they slowly start to move towards deep learning trying to implement whatever they have learned. Again, many of them start with TensorFlow directly. But it can be really difficult when using only TensorFlow in […] ...