Deep Learning as a Subset: All Deep Learning is Machine Learning, but not all Machine Learning involves Deep Learning. DL models are essentially a complex type of ML algorithms.

The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.

Deep learning defined. Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem ...

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception. This model has been ...

This is the gap that machine learning, and specifically deep learning, fills.” Thanks to MCUNetV2 and other advances in TinyML, Warden’s forecast is fast turning into a reality.

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. Topics Spotlight: AI-ready data centers ...

This essay on the lessons we learned about deep learning systems and gender recognition is one part of a three-part examination of issues relating to machine vision technology. See also: Interactive: ...

To use your retrained image classification model to make prediction on unknown images, use predict.py. We can either output the human string output by the softmax layer or the pre-softmax pool layer ...