In this post, we will verify the technique developed in 2015 and described in the paper Cyclical Learning Rates for Training Neural Networks. This technique describes a new method for changing the learning rate on each iteration (or batch) inread more →
In this post, we will explain how to change the learning rate in each iteration or batch in the training process of a Keras model using R language. Change the learning rate (lr) in each epoch is usually the mostread more →
This post is PART-2 of two posts. You can jump to the first part at PART-1, which has gone through matrix decomposition using Singular Vector Decomposition (SVD), randomized Singular Vector Decomposition (rSVD) and Nonnegative Matrix Factorization (NMF) mainly for image compression.read more →
This post is PART-1 of two posts. PART-1 will go through matrix decomposition using Singular Vector Decomposition (SVD), randomized Singular Vector Decomposition (rSVD) and Nonnegative Matrix Factorization (NMF) mainly for image compression. PART-2 will look at video background removal usingread more →
In this first post, I will show you a simple script that performs a R package frequency analysis of my most used R packages. By doing this analysis you will know which are your most used/called R packages of aread more →
