Engineering and Technology
Build multiple-input and multiple-output deep learning models using Keras.
This course provides comprehensive instruction on utilizing the flexible Keras functional API to effectively address a range of problems. Beginning with basic multi-layer dense networks, commonly referred to as multi-layer perceptrons, participants will progress to more intricate architectures. The course encompasses constructing models with multiple inputs and a singular output, as well as implementing weight sharing between layers within a model. Additionally, advanced concepts including category embeddings and multiple-output networks will be explored. If you have ever desired to train a network capable of both classification and regression, this course is tailored to your needs.
by DataCamp
Build multiple-input and multiple-output deep learning models using Keras.
by DataCamp
Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating co...
by DataCamp
Learn to create deep learning models with the PyTorch library.
by DataCamp
Learn about data science for managers and businesses and how to use data to strengthen your organiza...
by DataCamp
Learn the fundamentals of working with big data with PySpark.
by DataCamp
Learn to build recommendation engines in Python using machine learning techniques.
by DataCamp
Learn fundamental natural language processing techniques using Python and how to apply them to extra...
by DataCamp
Learn about ARIMA models in Python and become an expert in time series analysis.
by DataCamp
Learn how to explore what's available in a database: the tables, relationships between them, and dat...
by DataCamp
In this course you will learn to fit hierarchical models with random effects.