Machine Learning

How to Reduce Variance in the Final Deep Learning Model With a Horizontal Voting Ensemble

Ensemble learning is key in effective machine learning. However, applying ensemble learning to deep models can result in computational challenges due to the depth of the models and the number of models that have to be trained. Horizontal and vertical voting ensembles is a technique that makes applying ensemble learning feasible for deep learning. The… Continue reading How to Reduce Variance in the Final Deep Learning Model With a Horizontal Voting Ensemble

Machine Learning

Ensemble Methods – Abolfazl Ravanshad – Medium

Ensemble Learning can be a lifesaver for many machine learning engineers. It helps to tackle harder problems, simple to train, and even sometimes outperform deep learning. This blog explains different ensemble techniques such as averaging, stacking, bagging and boosting. It also delves into the pros and cons of each of them. In this post, I… Continue reading Ensemble Methods – Abolfazl Ravanshad – Medium

Machine Learning

What’s coming in TensorFlow 2.0 – TensorFlow – Medium

TensorFlow is here to stay on top of the ML & DL libraries, even though very little attention was paid to backward compatibility and abundance of syntactic jargon, but it’s still one of the most efficient and competent libraries to watch for in 2019. TF for both mobile and web are a great addition to… Continue reading What’s coming in TensorFlow 2.0 – TensorFlow – Medium

Machine Learning

Intro to Modern Bayesian Learning and Probabilistic Programming

Bayesian Inference although one of the simples classic techniques in machine learning, it always maintains its position at the top of the list of the most interesting, controversial, and beneficial machine learning algorithms. Combining Bayesian Inference with Probabilistic Modeling and Big Data is a novel trend in open research areas of modern machine learning. Many… Continue reading Intro to Modern Bayesian Learning and Probabilistic Programming

Machine Learning

Machine Learning in Python – PyImageSearch

This is probably the most comprehensive tutorial covering most of the machine learning algorithms in a very illustrative way. Get your hands dirty and refresh your knowledge … Are you struggling to get your start in machine learning using Python? In this step-by-step, hands-on tutorial you will learn how to perform machine learning using Python.… Continue reading Machine Learning in Python – PyImageSearch

Machine Learning

How to Fix Vanishing Gradients Using the Rectified Linear Activation Function

A very well done tutorial on how to tackle the vanishing gradients problem in training deep neural networks. It demonstrates how to efficiently fine-tune the activation functions and the weights initialization in order to improve learning and speedup the convergence. Finally, it shows how to correctly diagnose the vanishing gradients problem using TensorBoard. Enjoy reading… Continue reading How to Fix Vanishing Gradients Using the Rectified Linear Activation Function