Efficient FPGA-Based Inference Architectures for Deep Learning Networks
Texte intégral
Figure
Documents relatifs
Local learning algorithms can require a number of training examples exponential in the input dimension to obtain a given generalization error.... Curse
But, there is renewed interest in machine learning methods due to the recent successes of deep neural networks in several Artificial Intelligence benchmarks including the
The evaluation results show that the proposed learning- based incast performance inference can provide good predic- tions either using a single model or individual models depend- ing
L'amitié et le partenariat durables entre les États-Unis et le peuple camerounais perdureront et se développeront alors que nous nous engageons à nouveau à soutenir et à respecter
This early stopping brings significant improvements compared to the network trained for 50 epochs, used in [15], that needed around 1800 traces to reach a success rate of 90%. It
temps de la révolution industrielle, l’activité musculaire et la fatigue des ouvriers occupent les chercheurs (Rabinbach Anson, 2004). En effet, le lien entre la fatigue
The actual reason for the necessity of these alien constructs in the deductive systems is that the meta language of the deductive formalism (here sequent calculus and tableaux)
In the model we present, a certain number of calculation units, distributed across a communication network repre- sented by a graph, participate in the estimation of θ by