Over the last few years and even now, we usually hear that in order to build a microservices architecture or any distributed system, the services must be stateless. However, these systems also need to store the state in some way. Discover how we can address this problem using stateful services that could manage distributed state at scale.
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.
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.
Apache Ignite is a distributed in-memory cache, query and processing platform. Discover how to build your own Apache Ignite persistence with Scala.
Transfer learning consists in training a base network and reusing some or all of this knowledge in a related but different task.
Transfer Style allows to use the inner understanding of an already trained Convolutional Neural Network to transfer style from one picture to another.