A Complete Guide to ktrain: A Wrapper for TensorFlow Keras

ktrain is a lightweight wrapper library for TensorFlow Keras. It can be very helpful in building projects consisting of neural networks. Using this wrapper, we can build, train and deploy deep learning and machine learning models.
To make the predictive models more robust and outperforming, we need to use those modules and processes that are lightweight and can work faster. Ktrain is a lightweight python wrapper that provides such features to an extent. It is a lightweight wrapper for the deep learning library TensorFlow Keras that helps in building, training, and deploying neural networks and other machine learning models. In this article, we are going to discuss the ktrain package in detail. We will go through its important features and pre-trained models available with it. Along with that, we also implement a BERT model available with ktrain for a text classification problem. The major points to be discussed in the article are listed below. Table of Contents About ktrainModels Available with ktrainImportant
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Picture of Yugesh Verma
Yugesh Verma
Yugesh is a graduate in automobile engineering and worked as a data analyst intern. He completed several Data Science projects. He has a strong interest in Deep Learning and writing blogs on data science and machine learning.
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