VyOS HA in AWS
Discover how to solve the recurrent problem of floating IPs when using highly-available virtual routers in AWS. This approach will show how the new master router can claim an EC2 Secondary private IP in the failovering transition.
Swarm Intelligence Metaheuristics, part 2: Particle Swarm Optimization
Welcome back to our series on Swarm Intelligence Metaheuristics for Optimization. On this post, we will focus on Particle Swarm Optimization. Recall we define Metaheuristics as a class of optimization algorithms which turn out to be very useful when the function being optimized is non-differentiable or does not have an analytical expression at all.
Build your own Apache Ignite persistence with Scala
Apache Ignite is a distributed in-memory cache, query and processing platform. Discover how to build your own Apache Ignite persistence with Scala.
Wild Data Part 3: Transfer Learning
Transfer learning consists in training a base network and reusing some or all of this knowledge in a related but different task.
Wild Data Part 2: Transfer Style
Transfer Style allows to use the inner understanding of an already trained Convolutional Neural Network to transfer style from one picture to another.
Wild Data Part 1: Augmentation
Data augmentation is a basic technique to increase our dataset without new data. Although the technique can be applied in a variety of domains, it’s very commonly used in Computer Vision, and this will be the focus of the post.
