by using the appropriate neural network design. Popular deep learning architectures that can be used in an anomaly detection framework include: Autoencoder: Autoencoders learn compact ...

Within the realm of data science, deep learning frameworks are predominantly delivered via software found in the Python ecosystem ... In those early days, lots of framework names would get thrown ...

Mobile chip maker Qualcomm wants to enable deep learning-based software development on all ... The purpose of the framework is to make possible UX implementations like style transfers and filters ...

“We report a complete deep-learning framework using a single-step object detection model in order to quickly and accurately detect and classify the types of manufacturing defects present on Printed ...

Now, Microsoft and Intel have found a way to use images to detect malware attacks ... will turn any malicious code into images and use deep learning models to study them. Classical malware ...

While MPI is at the core of many supercomputing software frameworks ... GPU node scalability for deep learning training clusters with D.K. Panda, whom we will call here the Master of Framework ...