TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments.
TF. Learn is a high-level Python module for distributed machine learning inside TensorFlow.
BIG-bench Machine Learning Vocal Bursts Intensity Prediction
TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms.
TensorFlow Eager is a multi-stage, Python-embedded domain-specific language for hardware-accelerated machine learning, suitable for both interactive research and production.
Our focus is on simplifying cutting edge machine learning for practitioners in order to bring such technologies into production.
Adversarial examples are malicious inputs designed to fool machine learning models.
Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems.
We develop a deep learning based convolutional-regression model that estimates the volumetric soil moisture content in the top ~5 cm of soil.
They perform similarly to existing state-of-the-art generalized additive models in accuracy, but are more flexible because they are based on neural nets instead of boosted trees.