Neural Networks with Python - [Part 7]
In the 7th tutorial for artificial neural networks, we start looking into sequential data and time series. We're going to build a recurrent neural network for this purpose.
Sequential data can be viewed or perceived as data at multiple points in time. Think of it like having 2 axes, the x and y. On the y axis you have your data points, while the x axis is for the time points.
In the real world, applications of sequential data are traffic analysis, weather forecast, the stock market, and so on.
Like we did with all machine learning models in this series, we're going to start by creating our dataset. It's going to be comprised of waveforms (oscillations across time).
For that we're defining two functions: one to generate the waves and amplitudes, and another one for visualization purposes. We are going to use these functions later for creating the dataset that's going to be fed to our recurrent neural network.
Please see below for the full walkthrough for this tutorial:
To stay in touch with me, follow @cristi
Cristi Vlad Self-Experimenter and Author
I love this so much! Resteemed! You're part of the future my man!
Could NN be used to interact with steemit blockchain? I am a noob in tech haha
Yes, they can.
I like your post, very good post maybe other people also like it, the picture is also very good, because I like to read about something new in my life, hopefully the next post is better, thanks .. :)
great tutorial, I think all human beings should know some programming in any language and pyton is one of the most used worldwide.
I am not using it due to the weird syntax it has.
The best vidio
Find a man interested in Neural Network. Keep posting ... One thing I learn form Ng is that science is an empirical process. Same thing with steemit, its an empirical process. Kudos!