How to Reduce Training Time for a Deep Learning Model using tf.data. Learn to create an input pipeline for images to efficiently use CPU and GPU resources to process the image dataset and reduce the training time for a deep learning model.
Gradient Descent for Data Science and Machine Learning. Solve Optimization Problems using Gradient Descent. You might not find it super exciting in and of itself, but it will enable us to do exciting things throughout the article, so bear with me.
Comparison and Optimization on ML Models for Loan Application Prediction: Deep Dive into Common Machine Learning Models for Model Selection, Validation, and Optimization.
This article discusses pruning techniques in the context of deep learning. This article is the successor to my previous article on Quantization.
Learn how to make your models smaller via pruning. In this article, we’ll work through an example as we apply pruning and view the effect on the final model size and prediction errors.