Sentence examples for learning acceleration from inspiring English sources

Moreover, to solve the challenges of running deep learning hashing on the mobile device, we summarize and analyze the existed deep learning acceleration technologies in two categories: computation acceleration and model reduction.

This model makes response to the learner action by means of some equations relating to learning dynamics, learning energy, learning speed, learning force, and learning acceleration, which is analogous to the notion of Newtonian mechanics in some way; therefore, this model is named Learning Response Dynamics.

Microsoft launches Project Brainwave, its deep learning acceleration platform.

While some of Microsoft's competitors, including Google, are betting on custom chips, Microsoft continues to bet on FPGAs to accelerate its models, and Brainwave … Continue reading Microsoft launches Project Brainwave, its deep learning acceleration platform.

This is the story Google wants to tell of machine learning: an acceleration, turning the coming year into an inflection point, the instant that machine learning became good enough to start trusting.

Today it announced that its Glow compiler for machine learning hardware acceleration has signed up the top silicon manufacturers, like Cadence, Esperanto, Intel, Marvell, and Qualcomm, to support Glow.

This makes BN learning a candidate for acceleration using reconfigurable hardware such as field-programmable gate arrays (FPGAs).

Most likely, his additional years of experience playing top-level soccer, meant that he had learned to extract acceleration signals from velocity changes over time [20], [21].

On the basis of converged learning forces obtained with learning control at a specific acceleration set-point profile, a finite impulse response mapping is derived to generalize the learned forces at a specific set-point toward arbitrary set-point profiles, thus relaxing the need for further learning.

Finally, we present a frequency-based iterative learning controller for tracking periodic plate acceleration trajectories in R6 for all designs.

We are grasping difficult learning curves and with the acceleration of technology we are learning to deal with these challenges at an increasingly rapid pace.