How to train a neural network model in python or any language that can train itself from a excel file and validate itself also from a excel file? I have a large amount of data. I need to make a neural network that trains itself  from an excel data sheet and validates its output from another excel data set.
There will be an output coloumn in the validate excel file. The model needs to give the output near about the givern row.
You are mentioning two different problems:


data gathering: here you want to get your data from an excel file for both the training and the validation
modeling your data: here you want to do it with a neural network.


For the data gathering, I suggest you to use pandas, a python library which can extract data from excel files with pandas.read_excel as well as many other source (csv files, parquet files). Then once you have the data in python you can  try to understand them with a neural network. The book I used to learn it was handson machine learning by Aurelien Gueron (https://github.com/ageron/handson-ml). Hope you will find this useful. 

Before going to neural network you should also have a look at scikit learn a python library which is used for machine learning when you do not have enough data to train a neural network, if you are getting you data from excel files I guess you have less than 100 thousand data rows which might be a bit too few to train a neural net.