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Category: keras

How to save and load a model with Keras

  • June 29, 2021
  • by Niranjan B Subramanian

In this article, we’ll look at how we can save a model that we have trained in Keras. First, we’ll create a very simple CNN model using Keras and train that model on the Fashion MNIST […]

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Custom Callbacks in Keras

  • August 13, 2020June 27, 2021
  • by Niranjan B Subramanian

Keras comes with a long list of predefined callbacks that are ready to use. Keras callbacks are functions that are executed during the training process. According to Keras Documentation, A callback is a set of functions […]

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6 Regularization Techniques for Deep Learning

  • February 3, 2020June 27, 2021
  • by Niranjan B Subramanian

One of the most common problems of training a deep neural network is that it overfits. Overfitting occurs when the network learns specific patterns in the training data and is unable to generalize well over new […]

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Simple Linear Regression using Keras

  • January 30, 2020June 27, 2021
  • by Niranjan B Subramanian

Regression is a statistical approach used for predicting real values like age, weight, salary, for example. In regression, we have a dependent variable which we want to predict using some independent variables. The goal of regression […]

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KERAS Callbacks

  • December 31, 2019June 27, 2021
  • by Niranjan B Subramanian

Keras comes with a long list of predefined callbacks that are ready to use. Keras callbacks are functions that are executed during the training process. According to Keras Documentation, A callback is a set of functions to be […]

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