Welcome to the next tutorial covering deep learning with Python, Tensorflow, and Keras. We’ve been working on a cryptocurrency price movement prediction recurrent neural network, focusing mainly on the pre-processing that we’ve got to do. In this tutorial, we’re going to be finishing up by building our model and training it.
Text tutorials and sample code: https://pythonprogramming.net/crypto-rnn-model-deep-learning-python-tensorflow-keras/
Discord: https://discord.gg/sentdex
Support the content: https://pythonprogramming.net/support-donate/
Twitter: https://twitter.com/sentdex
Facebook: https://www.facebook.com/pythonprogramming.net/
Twitch: https://www.twitch.tv/sentdex
G+: https://plus.google.com/+sentdex
Related Post:
- Cryptocurrency-predicting RNN intro – Deep Learning w/ Python, TensorFlow and Keras p.8
- Bitcoin mining with 15 lines of python code | Python Bitcoin Tutorial
- Bitcoin mining with 15 lines of python code (HINDI) | Python Bitcoin mining
- AI for Mobile and IoT Devices: TensorFlow Lite (Google I/O'19)
- DCN V2:Improved Deep &Cross Network and Practical Lessons for Web-scale Learning to Rank Systems
- Jetson Nano Speed test YOLOv3-tiny VS YOLOv3-tiny-prn Deep Learning #9
- Analysing And Predicting The Cryptocurrency Markets With Xiahong Lin
- Web Bot Forecasts —Analysing And Predicting The Cryptocurrency Markets
- Billionaire Michael Novogratz: Investing In Cryptocurrency and Predicting Its Future (2018)
- "EOS Deep Dive" Technical Analysis (EOS) : Sensei Tutums Eos Deep Dive 4.10.19
