Put another way, you write Keras code using Python. The Keras code calls into the TensorFlow library ... Figure 1.The Iris Dataset Example Using Keras The Iris dataset has 150 items. The demo program ...

TensorFlow also provides libraries for many other languages, although Python tends to dominate ... easier to work with—for example, by using the relatively simple Keras API for model training ...

Keras is one of the leading high-level neural networks APIs. It is written in Python and supports multiple back-end neural network computation engines. Given that the TensorFlow project has ...

This programming tutorial will shed some light on why Python is the preferred language ... Some of the areas in ML and DL where TensorFlow excels are: Keras is a popular open-source neural network ...

This is an example of sentiment analysis ... For my demo, I installed the Anaconda3 4.1.1 distribution (which contains Python 3.5.2), TensorFlow 1.7.0 and Keras 2.1.5. The structure of demo program, ...

Initial integration with the Keras deep learning library began with the release of TensorFlow 1.0 in February 2017. It also promises three times faster training performance when using mixed ...