Built to make the math click.
Most introductions to neural networks ask you to trust the math. Loss curves go down, accuracy goes up, but the inner workings stay hidden behind libraries.
This is a transparent, hands-on playground. Every node, edge, gradient and step of backprop is rendered. You can pause time, drag a weight, delete a neuron, and watch the decision boundary react.
TargetWatch aims to make price targets for Nordic stocks more accessible by converting target price currencies to stock price currencies and comparing them side by side. Users get an overview of upsides and trends, and stocks can be sorted on upside for the latest price target or on the upside for an average price target for the last three months. Stocks can also be sorted on consensus level, meaning the alignment of analysts on recent price targets for a given stock.
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