Our most recent Machine Learning blogs 📃

How to use K-fold Cross Validation with Keras?

When you train supervised machine learning models, you’ll likely try multiple models, in order to find out how good they...

So far, at MachineCurve, we have primarily focused on how to train models with Keras. This is nice, but a...

If you’re training Convolutional Neural Networks with Keras, it may be that you don’t want the size of your feature...

Convolutional neural networks are great tools for building image classifiers. They have been used thoroughly since the 2012 deep learning...

Sometimes, you don’t want the shape of your convolutional outputs to reduce in size. Other times, you wish to append...

Training Convolutional Neural Networks means that your network is composed of two separate parts most of the times. The last...

Sometimes, your data set may consist of e.g. images from which you only need to use a tiny bit in...

When you Google around for questions like “how to create an image classifier”, it’s possible that you end up on...

Creating ConvNets often goes hand in hand with pooling layers. More specifically, we often see additional layers like max pooling,...

There are three widely known regularization techniques for neural networks: L1 (or Lasso) regularization, L2 (or Ridge) regularization and Elastic...