Neural Network Tutorial

C++ Neural Network Backpropagation tutorial from scratch.

In this playlist, I teach the neural network architecture and the learning processes to make the ANN able to learn from a dataset.

The Tutorials are divided in each part of the neural network and we start coding it in C++ in Visual Studio 2017. Once you have completed the tutorial you will be able to design your own neural network and optimize it.

  1. Introduction
  2. Neuron & Layer
  3. Input & Output Layer
  4. Hidden Layer
  5. Neural network
  6. Training
  7. FeedForward & Backpropagation

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Stock Market Data

Web-Scraping Stock Market data using C++ API

This is a complex C++ program that is used as an interface to the client, we only need to execute the main thread and it will automatically update stock market data and store it using the JSON format.

We have used IEX API which is free and has more than 10 indices. It obtains information in real time and it is updated whenever you execute it.


Link

The code it for free on a GitHub repository: StockMarketData Repository

Stock market data & deep learning