Ultimate Guide to Deep Q-Learning with TF-Agents

Ultimate Guide to Deep Q-Learning with TF-Agents

A while back we wrote a couple texts about Reinforcement Learning. We explored how it is different from supervised and unsupervised learning and what kind of problem it is trying to solve. Also we found out what is Q-Learning, one way to actually do reinforcement...
Top 5 Deep Learning Research Papers in 2019

Top 5 Deep Learning Research Papers in 2019

This year was important year for deep learning and machine learning in general. Things are happening pretty quickly and the number of application of these technologies is growing. We crossed the chasm and deep learning is in the Early Majority phase. Today, we even...
Introduction to Chatbots and Their Business Value

Introduction to Chatbots and Their Business Value

In today’s world, the majority of businesses have some sort of an e-shop or are e-commerce oriented (meaning: good portion of business can be done online). However, what if your Customer has an issue, and she/he needs to contact the Support, and it is outside of your...
Transfer Learning with TensorFlow 2 – Model Fine Tuning

Transfer Learning with TensorFlow 2 – Model Fine Tuning

In the previous article, we had a chance to explore transfer learning with TensorFlow 2. We used several huge pre-trained models: VGG16, GoogLeNet and ResNet. These architectures are all trained on ImageNet dataset and their weights are stored. We specialized them for...
Business Value of Artificial Intelligence

Business Value of Artificial Intelligence

As you may already know, the amount of data that we create, and store, as human beings has been growing immensely in the last few years. We start having more and more devices that can create, send, store and save data – we can just look at our mobile phones, and how...