Software Engineering Daily

Convolutional neural networks are a machine learning tool that uses layers of convolution and pooling to process and classify inputs. CNNs are useful for identifying objects in images and video. In this episode, we focus on the application of convolutional neural networks to image and video recognition and classification.

Matt Zeiler is the CEO of Clarifai, an API for image and video recognition. Matt takes us through the basics of a convolutional neural network–you don’t need any background in machine learning to understand the content of the episode. He also discusses the subjective aspects of image and video recognition, and some of the tactics Clarifai has explored. This is far from a solved problem.

Matt also discusses the infrastructure of Clarifai–how they use Kubernetes, how models are deployed, and how models are updated.

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Deep learning promises to dramatically improve how our world works. To make deep learning easier and faster, we need new kinds of hardware and software–which is why Intel acquired Nervana Systems, a platform for deep learning. Intel Nervana is hiring engineers to help develop a full stack for AI, from chip design to software frameworks. Go to softwareengineeringdaily.com/intel to apply for a job at Intel Nervana. If you know don’t know much about the company, check out the interviews I have conducted with engineers from the company. You can find these at softwareengineeringdaily.com/intel.

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