Several machine learning frameworks have emerged to streamline the development and deployment of AI applications. These frameworks help abstract away the grunt work of testing and configuring AI ...

Deep learning frameworks provide the software backbone for designing, training and deploying neural networks, abstracting low-level computation into user-friendly interfaces. Prominent examples ...

A new hybrid AI framework combining deep convolutional networks with multi-objective evolutionary optimization achieves 98.5 ...

A new deep reinforcement learning framework published in Cluster Computing enables cloud networks to dynamically recompose ...