deeplizard demonstrates how to process numerical data that we’ll later use to train our very first artificial neural network in this video.
In this video, deeplizard discusses GPU support for TensorFlow and the integrated Keras API and how to get your code running with a GPU.
In this episode, deeplizard discusses the Keras integration with TensorFlow (tf.keras), compatibility requirements, and how to get Keras installed on your machine!
deeplizard has put together a course on how to use Keras.
In this course, we will learn how to use Keras, a neural network API written in Python! In this episode, we discuss the prerequisites required to start working with Keras, why Keras is a good library to learn, and what resources you’ll have available to ensure your success in this course.
Jon Wood demonstrates how to use ML.NET within Python by using the NimbusML package. This video also gives an example of creating a linear regression model.
NimbusML documentation – https://docs.microsoft.com/en-us/nimbusml/overview