Subject archive for "neural-networks"

Machine Learning

GPU-accelerated Convolutional Neural Networks with PyTorch

Convolutional Neural Networks (CNNs and also ConvNets) is a class of Neural Networks typically used for image classification (mapping image data to class values). At a high level, CNNs can be viewed simply as a variant of feedforward networks, but they have a number of advantages in comparison to more traditional algorithms for analysing visual imagery.

By Nikolay Manchev13 min read

Machine Learning

Feature extraction and image classification using Deep Neural Networks and OpenCV

In a previous blog post we talked about the foundations of Computer vision, the history and capabilities of the OpenCV framework, and how to make your first steps in accessing and visualising images with Python and OpenCV. Here we dive deeper into using OpenCV and DNNs for feature extraction and image classification.

By Dr Behzad Javaheri13 min read

Engineering

Tensorflow, PyTorch or Keras for Deep Learning

Machine learning provides us with ways to create data-powered systems that learn and enhance themselves, without being specifically programmed for the task at hand. As machine learning algorithms go, there is one class that has captured the imagination of many of us: deep learning. Surely you have heard of many fantastic applications where deep learning is being employed. For example, take the auto industry, where self-driving cars are powered by convolutional neural networks, or look at how recurrent neural networks are used for language translation and understanding. It is also worth mentioning the many different applications of neural networks in medical image recognition.

By Dr J Rogel-Salazar13 min read

Data Science

Practical Data Science at Gusto and General Assembly

In this Data Science Popup panel led by Michael Manapat, Product and Machine Learning at Stripe, we learn about practical applications of data science at Gusto, and instruction of practical data science at General Assembly. The panel members are Daniel Sternberg, Data Science and Engineering Lead at Gusto, and Kiefer Katovich, Department Chair for Data Courses at General Assembly.

By Grigoriy31 min read

Data Science

Data Science Interview: Claudia Perlich, Chief Scientist Dstillery

We recently caught up with Claudia Perlich, Chief Scientist at Dstillery. Prior to joining Dstillery, she won a number of data mining competitions, as well as several awards from industry and academia.

By Anna Anisin13 min read

Subscribe to the Domino Newsletter

Receive data science tips and tutorials from leading Data Science leaders, right to your inbox.

*

By submitting this form you agree to receive communications from Domino related to products and services in accordance with Domino's privacy policy and may opt-out at anytime.