Can stock prices be predicted with LSTM neural networks?

One of the first questions I asked myself when I started working with neural networks was, can I write a program to predict the price of a stock with a neural network? There are tons of examples floating around the Internet on forecasting or predicting stock market prices but most of them give only example code without actually addressing the question.

I’ve worked fairly extensively with machine learning technology, mainly using neural networks for object detection and facial recognition. One thing that I have learned is that neural network models need to be trained on data within a set of known parameters.

Can the human brain learn without first experiencing or seeing something? Can you use an orange to teach a young child that apples are red?

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Developing neural networks to detect guns from live videos feeds.

When I was researching school security in early 2018 I thought of an idea that could help enhance school security. I had been working with facial recognition developing a profiling tool that could detect sex offenders from live video and I wanted to see if I could adapt it to detect objects, such as weapons and guns.

Two companies claimed to have technology to detect guns and weapons from live video feeds. One company, Athena Security, offers the technology at a very reasonable price. What I needed to do is prove that the technology worked before reaching out to school board members and state officials.

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