NLP model training speed can be greatly increased using stateful LSTMs and parallel data input. Here I will try to explain how stateful RNNs achieve speed increases over unrolled RNNs, and how data must be batched to allow for a parallel input of training examples.

RNNs are neural networks that…


In this post, I will try to address the curse of dimensionality in Machine Learning and how could wide and deep learning models helps overcome it.

Now when we say dimensions here what we mean is basically the different features a certain data point can have, Every different property we…


Late last year in my attempt to create a model that can classify digital illustration I faced the problem that is one label isn’t enough to describe every art-work since every artist can use multiple techniques for one illustration, for example, line drawing technique is not only used for black…


This post was inspired by my classmate Bruce when he said:

In a world where data is golden, why use so much resource to gather it and then be ethically restrained from not giving it to a third party who may use the data more efficiently than you?

In other…


Being very interested in 3D animations I always try to find ways that might help to automate or at least cut some edges in the process of making it where creativity isn’t really needed.

In an earlier post, I talked about the process of making 3D animation and how time-consuming…


Naturally, before using a certain tool we first analyze the task at hand and then measure to which extend can the suggested tool performs, therefore the understanding of how deep learning works and what it requires is crucial so we can choose a suitable tool.

Deep learning is a machine…


Growing up animation played a major part in my perception of the world around me, from forming an understanding of people’s body language to how we all act and interact very differently with the environment surrounding us. …

Eiman Bakhit

CSE, Web Development, Deep Learning

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