Back to Machine Learning Basics – Linear Regression with Python, SciKit Learn, TensorFlow and PyTorch
The code that accompanies this article can be found here. Deep Learning and Machine Learning are no longer a novelty. Many applications are utilizing the power of these technologies for cheap predictions, object detection and various other purposes. At this blog, we...
Detection of COVID-19 in chest X-Rays with Deep Learning
The code presented in this article can be found here. COVID-19 virus hit us hard. Warnings from Nicolas Taleb that our interconnectedness could cause wide pandemic were true. Schools are closed and most of us are working from home, spending time in isolation and...
Deploying Machine Learning Models – pt. 3: gRPC and TensorFlow Serving
The code presented in this article can be found here. In the previous articles, we explored how we can serve TensorFlow Models with Flask and how we can accomplish the same thing with Docker in combination with TensorFlow Serving. Both of these approaches utilized...
Deploying Machine Learning Models – pt. 2: Docker & TensorFlow Serving
In the previous article, we started exploring the ways one deep learning model can be deployed. There we decided to run a simple Flask Web app and expose simple REST API that utilizes a deep learning model in that first experiment. However, this approach is not very...
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...
