Insights

Category: Machine Learning

November 3, 2017
Object Detection Deep Learning

Since 2012 when AlexNet appeared and broke almost all the records in image classification contests, the landscape of a Computer Vision (CV) community has completely changed. There has been an exponential growth in the number of Computer Vision solutions based on convolutional neural networks (CNNs) in the past five years, and this trend seems to […]

October 10, 2017
Deep Learning chatbot - analysis and implementation

If you have a business with a heavy customer service demand, and you want to make your process more efficient, it's time to think about introducing chatbots. In this blog post, we'll cover some standard methods for implementing chatbots that can be used by any B2C business. Introduction Any business oriented towards creating a top […]

September 8, 2017
Variational Dropout - Uncertainty in Deep Learning?

Last Thursday, our Senior Deep Learning Researcher gave a lecture in Warsaw at the event co-sponsored by Sigmoidal - Data Science PL group: Marcin covers the topic of measuring certainty using a relatively unknown technique known as Variational Dropout. Another method only briefly covered in research that proved very useful in working with small datasets […]

September 5, 2017
GAN Deep Learning Architectures - review

Introduction Source: http://www.bulldozer-vfx.com/ How do you teach a machine to draw a human face if it has never seen one? A computer can store petabytes of photos, but it has no idea what gives a bunch of pixels a meaning related to someone’s appearance. For many years this problem has been tackled by various generative […]

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