Training deep neural networks usually boils down to defining your model's architecture and a loss function, and watching the gradients propagate. However, ...

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The model is composed of three sub-networks: Given $x$ (image), encode it into a distribution over the latent space - referred to as $Q(z|x)$ in the ...

Tensorflow is great. Really, I mean it. The problem is it’s great up to a point. Sometimes you want to do very simple things, but tensorflow is giving you ...

The exciting world of aviation, despite its constant progress, can still face limitations when it comes to promoting women to leadership roles. This hurdle ...

Queen bee syndrome describes a behavior in some women, particularly in male-dominated workplaces, where they undermine or even sabotage the success of ...

Have you ever been a passenger, peering out the window during landing, and wondered why a distant airplane seems frozen in place while the ground rushes by? ...

The world of Unmanned Aerial Vehicles (UAVs), or drones as they’re commonly called, has transformed from a niche technology to a rapidly evolving field with ...

Seaplanes offer a unique and unforgettable travel experience. Imagine soaring through the sky and then gently touching down on a pristine lake or shimmering ...

A Figure of Merit (FOM) in aviation is a quantifiable value used to assess the performance of an aircraft or aviation system in a specific area. It’s a ...

The environmental impact of aviation is a major concern, but the industry is taking flight with innovative solutions. Fuel efficiency is a top priority, and ...

The Variational Autoencoder (VAE) is a paragon for neural networks that try to learn the shape of the input space. Once trained, the model can be used to ...