Chainer.

Hands-on: Creating Neural Networks using Chainer

This tutorial is a practical guide which helps you to create Neural Networks in Chainer. The focus is not on the architecture of the networks (more about Neural Network architectures is found in this post), but it is focused on creating a pipeline. We will take a simple classification problem as an example and create the pipeline for training and testing the network and how to evaluate the model.

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Cryptocurrencies.

The Lessons I Learned in Cryptoland

There are many cryptocurrencies which you can buy. Where should you even start? In this article, I will share the lessons I have learned over the past years with you. I think it is important to share these insights with you, since there are a lot of people out in cryptoland waiting for your money and they will tamper with your thoughts. If you have any important lesson, please share it and it will be added to this article.

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Create a Character-based Seq2Seq model using Python and Tensorflow

In this article, I will share my findings on creating a character-based Sequence-to-Sequence model (Seq2Seq) and I will share some of the results I have found. All of this is just a tiny part of my Master Thesis and it took quite a while for me to learn how to convert the theoretical concepts into practical models. I will also share the lessons that I have learned.

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