What tools and technologies are covered in Creating Multi Task Models With Keras?

This course covers Keras, Python and Tensorflow.

What career roles is Creating Multi Task Models With Keras relevant for?

The skills and techniques in Creating Multi Task Models With Keras are most relevant for Científico de datos positions and other data science career paths.

Creating Multi Task Models With Keras | Coursera | Data Science & AI Course

Descripción

In this 1 hour long guided project, you will learn to create and train multi-task, multi-output models with Keras.Lee mas.

Este recurso es ofrecido por un socio afiliado. Si paga por la capacitación, podemos ganar una comisión para respaldar este sitio.

Relevancia profesional por rol de datos

The techniques and tools covered in Creating Multi Task Models With Keras are most similar to the requirements found in Científico de datos data science job advertisements.

Puntuaciones de similitud (sobre 100)

Creating Multi Task Models With Keras

Descripción

Relevancia profesional por rol de datos

Hechos rápidos

Estructura

Data Science Tools and Techniques Covered

Suscríbete para recibir actualizaciones

Oportunidades similares

Introduction to Deep Learning with Keras

Image Processing with Keras in Python

Advanced Deep Learning with Keras

Hyperparameter Tuning with Keras Tuner

Keras Cheat Sheet: Neural Networks in Python

Machine Translation in Python

Recommender Systems

Recurrent Neural Networks for Language Modeling in Python

Introduction to Deep Learning in Python

Seleccionar fuente de aprendizaje