During the past couple of months I've read Emma Wedekind's article 101 Tips For Being A Great Programmer (& Human) several times. It is always good to be reminded of what your profession is all about and how to integrate…
In this series of articles we are exploring a special type of sequence-to-sequence models - Transformers. They are big architectures with a lot ot parts and they are used used for language modeling, machine translation, image captioning and text generation. Generally speaking,…
Creating accurate Machine Learning models that are capable of identifying and localizing multiple objects in a single image remained a core challenge in computer vision.
If you’re just getting into the Machine Learning waters, we’ve added here some of the YouTube links to TED talks about Machine Learning, Deep Learning and AI, to get you going.
This is a guest post by Gilad David Maayan. Optimizing images is crucial for maintaining a good user experience on your website. Load time statistics show that if the average page load exceeds 3 seconds, the abandonment rates soar to…
Couple of months back we investigated parts of TensorFlow's ecosystem beyond standard library. To be more precise, we investigated TensorFlow.js and how you can build and train models in the browser and/or in the Node.js. However, we didn't manage one important topic - integration.
So far in our journey through the interesting architecture of Transformer we covered several topics. First we had a chance how this huge system looks like from the higher level. We saw how this type of sequence-to-sequence model harness the same principles…
One of the key-metrics in every business that defines success is SLA, or – Service Level Agreements. Metrics, or values that SLA defines are based off of the business it supports, and it may be anything that is needed: sales…
In one of the previous articles, we kicked off the Transformer architecture. Because they are massive systems we decided to split implementation into several articles and implement it part by part. In this one, we cover Encoder and Decoder.
This article answers the question - What are the top four deep learning frameworks that you should know in 2019?
