[unable to retrieve full-text content]In this tutorial, we will see how to apply a Genetic Algorithm (GA) for finding an optimal window size and a number of units in Long Short-Term Memory (LSTM) based Recurrent Neural Network (RNN).
Original Post: Using Genetic Algorithm for Optimizing Recurrent Neural Networks
[unable to retrieve full-text content]This article will help you understand why we need the learning rate and whether it is useful or not for training an artificial neural network. Using a very simple Python code for a single layer perceptron, the learning rate value will get changed to catch its idea.
Original Post: Is Learning Rate Useful in Artificial Neural Networks?
[unable to retrieve full-text content]I recently completed Andrew Ng’s computer vision course on Coursera. In this article, I will discuss 11 key lessons that I learned in the course.
Original Post: Computer Vision by Andrew Ng - 11 Lessons Learned
[unable to retrieve full-text content]What I truly envision for deep school is that this will build a whole lot of Meetup nodes across the world where people will learn, mentor and network around sharing AI knowledge.
Original Post: DeepSchool.io: Deep Learning Learning
[unable to retrieve full-text content]So normally we do Deep Learning programming, and learning new APIs, some harder than others, some are really easy an expressive like Keras, but how about a visual API to create and deploy Deep Learning solutions with the click of a button? This is the promise of Deep Cognition.
Original Post: Deep Learning Made Easy with Deep Cognition
[unable to retrieve full-text content]Deep learning emerged from that decade’s explosive computational growth as a serious contender in the field, winning many important machine learning competitions. The interest has not cooled as of 2017; today, we see deep learning mentioned in every corner of machine learning.
Original Post: The 10 Deep Learning Methods AI Practitioners Need to Apply
[unable to retrieve full-text content]Also: Managing Machine Learning Workflows with Scikit-learn Pipelines; Best Masters in Data Science and Analytics – Europe Edition; Another Day in the Life of a Data Scientist; TensorFlow for Short-Term Stocks; Creating Simple Data Visualizations as an Act of Kindness
Original Post: KDnuggets™ News 17:n47, Dec 13: Top Data Science, Machine Learning Methods in 2017; Main Data Science Developments in 2017, Key Trends; Lunch Break with Keras
[unable to retrieve full-text content]So yesterday someone told me you can build a (deep) neural network in 15 minutes in Keras. Of course, I didn’t believe that at all. So the next day I set out to play with Keras on my own data.
Original Post: Today I Built a Neural Network During My Lunch Break with Keras
[unable to retrieve full-text content]Only the Godfather of Deep Learning did it again and came up with something brilliant — adding layers inside existing layers instead of adding more layers i.e nested layers…. giving rise to the Capsule Networks!
Original Post: Some Musings on Capsule Networks and DLPaper2Code
[unable to retrieve full-text content]BNNs are important in specific settings, especially when we care about uncertainty very much.
Original Post: What is a Bayesian Neural Network?