Deep Java Library (DJL) is an open source, high-level, framework-agnostic Java API for deep learning. It is designed to be easy to get started with and simple to use for Java developers.

Even in TensorFlow 1.12, the official Get Started with TensorFlow tutorial uses the high-level Keras API embedded in TensorFlow, tf.keras.By contrast, the TensorFlow Core API requires working with ...

The learning model is built with two different recurrent neural network architectures, LSTM and GRU for comparison. The architecture comparison shows that LSTM is better than GRU. The test results ...

As described on the associated Azure Reference Architecture page, the application we will develop is a simple image classification service, where we will submit an image and get back what class the ...

Lecture: Course overview and organizational details. Core concepts of the GPU architecture and CUDA API. Seminar: CUDA operations in PyTorch. Introduction to benchmarking. Week 2: Experiment tracking, ...

An effective forest-fire response is critical for minimizing the losses caused by forest fires. The purpose of this study is to construct a model for early fire detection and damage area estimation ...