Image Optimization with Machine Learning
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...
How to Integrate TensorFlow Model in Angular Application?
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.
Transformer with Python and TensorFlow 2.0 – Training
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...
Choosing AWS Storage: EBS vs EFS vs S3
This is a guest post by Gilad David Maayan. More and more businesses are choosing to store their data in the cloud because of the increased accessibility, high performance, and reliability that it offers in comparison to onsite...
Using Machine Learning in Service Level Agreements
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...
Transformer with Python and TensorFlow 2.0 – Encoder & Decoder
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.
Top Deep Learning Frameworks of 2019
This article answers the question – What are the top four deep learning frameworks that you should know in 2019?
Data and SLA Forecasting – Implementation and Usage
Forecasting, in business, is usually related to the certain volume of: sales, influx of calls, or anything that your company is doing, based off of the historical data.
Transformer with Python and TensorFlow 2.0 – Attention Layers
In this and next couple of articles we will be able to see how one can implement one of these monumental architectures.
