LSTM stock market prediction with TensorFlow part 4 different data sources Functional Model скачать в хорошем качестве

LSTM stock market prediction with TensorFlow part 4 different data sources Functional Model

Continuing our LSTM stock prediction Python guided deep learning project. In our part 4 part of our Tensorflow Stock prediction project, we start with the functional API in Tensorflow. The functional API will allow us to ingest 3 different scores of data and extract higher-level features from each dataset before combining it with the next channel inside your neural network. We set up the workflow to allow for experiments and for you to further refine the architecture. In our model factory user-defined function with will easily be able to build many different architectures. video at DataSimple.education/ guided projects https://www.datasimple.education/pyth... Template Workbook https://colab.research.google.com/dri... Solution Workbook https://colab.research.google.com/dri... check out more data learning videos https://www.datasimple.education/data... One on one time with Data Science Teacher Brandyn https://www.datasimple.education/one-... data science teacher brandyn on facebook   / datascienceteacherbrandyn   data science teacher brandyn on linkedin   / admin   Showcase your DataArt linkedin   / 1038628576726134   Showcase your DataArt facebook   / 12736236   Python data analysis group, share your analysis   / 1531938470572261   Machine learning in sklearn group   / 575574217682061   Join the deep learning with tensorflow for more info   / 369278408349330