How to split train and test datasets in a Deep Leaning Model in Keras

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#keras #deeplearning #tensorflow
In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to split train and test datasets in a Deep Leaning Model in Keras.

What should I learn from this recipe?

You will learn:
How to code a keras and tensorflow model in Python.
How to setup a sequential deep learning model in Python.
How to setup Early Stopping in a Deep Learning Model in Keras.
How to split train and test datasets in a Deep Leaning Model in Keras.
How to create simulated data using scikit-learn.
How to create training and testing dataset using scikit-learn.
How to train a tensorflow and keras model.
How to report confusion matrix.

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Browse more end-to-end Applied Machine Learning and Data Science Recipes at following links:

  1. Machine Learning and Data Science for Beginners
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