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Convolutional Neural Networks - sales forecast

This blog post deals with convolutional neural networks applied to a structured dataset with the aim to forecast sales.

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Wide and Deep Learning Model for Grocery Product Recommendations

Exploring and applying current trends in machine learning to a large scale product recommendation based on implicit feedback.

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Image Captioning

The goal of this blog is an introduction to image captioning, an explanation of a comprehensible model structure and an implementation of that model.

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Neural Network Fundamentals

This blog post is a guide to help readers build a neural network from the very basics.

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