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Image Processing in Python

Image Processing in ...

Editor’s note: This post is part of the Silicon Valley Data Science Trainspotting series, a deep dive into the visual and audio detection components of the SVDS Caltrain project. Let them know your favorite part of the series and make comments on the original article here. The first step in developing our Caltrain project was creating a proof of […]

Introduction to Trainspotting

Introduction to Trai...

This was originally posted on the Silicon Valley Data Science blog. At Silicon Valley Data Science, we have a slight obsession with the Caltrain. Our interest stems from the fact that half of our employees rely on the Caltrain to get to work each day. We also want to give back to the community, and […]

Breaking Linear Classifiers on ImageNet

Breaking Linear Clas...

You’ve probably heard that Convolutional Networks work very well in practice and across a wide range of visual recognition problems. You may have also read articles and papers that claim to reach a near “human-level performance”. There are all kinds of caveats to that (e.g. see my G+ post on Human Accuracy is not a […]

Implementing a CNN for Text Classification in Tensorflow

Implementing a CNN f...

The full code is available on Github. In this post we will implement a model similar to Kim Yoon’s Convolutional Neural Networks for Sentence Classification. The model presented in the paper achieves good classification performance across a range of text classification tasks (like Sentiment Analysis) and has since become a standard baseline for new text […]

An Intuitive Explanation of Convolutional Neural Networks

An Intuitive Explana...

Convolutional Neural Networks (ConvNets or CNNs) are a category of Neural Networks that have proven very effective in areas such as image recognition and classification. ConvNets have been successful in identifying faces, objects and traffic signs apart from powering vision in robots and self driving cars. Figure 1: Source [1] In Figure 1 above, a ConvNet is able […]