Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

Abstract: Existing methods for integerized training speed up deep learning by using low-bitwidth integerized weights, activations, gradients, and optimizer buffers. However, they overlook the issue of ...

The result? A fully self-training, neural network-based thrust vector control (TVC) system that promises smarter and more efficient stabilization in real time. The journey started with a basic 3D ...

Concerned about rising fuel costs? Confused by mpg claims? Our free calculator helps you work out what you're paying and choose the right engine for your next car. With petrol, LPG and diesel prices ...

Abstract: Graph Neural Networks (GNNs) have aroused increasing research attention for their effectiveness on graph mining tasks. However, full-batch training methods based on stochastic gradient ...

Choose the necessary framework dependencies to install based on your deploy environment. After successfully installing these packages, try your first quantization program. Following example code ...

This paper introduces two architectures for the inference of convolutional neural networks (CNNs). Both architectures exploit weight ... allowing almost uninterrupted bursts from and to DRAM.