Problem definition As the first step in our project, we decided to build a Deep Learning solution for detecting a forklift and its parts on a single frame taken out from a recorded video. Having information on where a machine is makes tracking of a forklift much easier. We decided »
In this post I'll show how to prepare Docker container able to run already trained Neural Network (NN). It can be helpful if you want to redistribute your work to multiple machines or send it to a client, along with one-line run command. Sample code is using Keras with TensorFlow »
Since 2012 when AlexNet has appeared and broken almost all the records in image classification contests, the landscape of a Computer Vision (CV) community has completely changed. There is an exponential growth in the number of Computer Vision solutions based on convolutional neural networks (CNNs) and this trend seems to »
If you have a business with a large customer service and you want to make it more efficient, it's time to think about introducing chatbots. In this blog post, we'll cover some standard methods which can be used by any B2C. Introduction Any business oriented towards customers needs a customer »
Sigmoidal is excited to be exhibiting at the IoT World Conference at Santa Clara, the west coast’s largest digital IoT conference. The event is being held May 16-18 at the Convention Center in Santa Clara. It will cover IoT Strategies to Target and Engage the Consumers and yield more »
Sigmoidal is officially a partner of NVIDIA via the Inception Program! The program was designed to nurture dedicated and exceptional startups who are revolutionizing industries with advances in AI, Data Science and machine learning The program will give Sigmoidal access to NVIDIA’s latest GPU technology and deep learning resources. »
Design specs. Write software. Test it, fix bugs, post to production. Agile development is omnipresent in the software development world. However, the machine learning development is more like a creative research process. There are certain similarities though, which I’d like to shortly outline here. For those of you that »
After long development, Google released the first stable version of its Machine Learning library, TensorFlow. The release is an important milestone in the development of a common Machine Learning toolkit. TensorFlow provides a set of primitives from which Machine Learning engineers and researchers can construct trainable models — as well as »
In this post I'm going to analyze Docker role in each stage of application lifecycle, and try to highlight cases when you should consider moving to Swarm. It's not a getting started tutorial, but I'll create one in future. Development with Docker Docker really made my life much easier. Let's »
We all know that sweet green padlock in our browsers, meaning that our connection to a website is secure. Don't underestimate encrypted connection! Without it, all data is sent in plain text. It's very dangerous if your site handles secret data, like passwords or emails. Recently, my colleague from work »
We all strive to achieve great quality code. Every language allows us to run some quality checks or automatic unit tests. But even best tests won't help, if they aren't run often. Remember! If something takes too much time or effort, people will avoid it! Solution? We can reverse that! »
Today I'm going to write about Jupyter Notebook, previously known as IPython Notebook. It's a tool that allows you to create interactive python sessions, visualize results, and easily distribute them. It's widely used among machine learners and university professors. How does it look? Here is the notebook window of Jupyter »
