If you are building your own neural network, you will definitely need to understand how to train it. Backpropagation is a commonly used technique for training neural network.
-> Python3 : https://www.python.org/downloads/
-> If you want to run ipython notebook(.ipynb file), So for run this file you need jupyter-notebook, if not already installed in your machine check below link for installation : https://jupyter.readthedocs.io/en/latest/install.html
- Sigmoid function (1/(1 + exp(-x)))
- Unit vector ( X )
- Target value that we want to predict using backpropagation
- Learning rate ( α )
- Weight for Input ⇒ Hidden layer.
We will use given weights and inputs to predict the output. Inputs are multiplied by weights and then the results are passed forward to the next layer.
-> Type jupyter-notebook in your terminal.
-> Go to Jupyter Navigation Bar -> Select 'Cell' -> Select 'Run All'