Abstract: The present invention provides a high-strength and high-heat-resistant bio-based polyamide composition, which consists of the following parts of materials by mass: 43.50-89.95% of bio-based polyamide resin slices; 10-50% of reinforcements; 0.01-2% of rare earth compounds; 0.01-1% of copper salt antioxidant combinations; 0.01-1% of free-radical scavengers; 0.01-0.5% of heat-conducting masterbatches; 0.01-1% of stabilizers; and 0-1% of dispersants. The advantage of the present invention is presented in that: the bio-based polyamide resin slice is prepared through a stepwise polycondensation process of pentanediamine and adipic acid, or through a stepwise polycondensation process of pentanediamine, adipic acid and terephthalic acid and the pentanediamine is prepared through fermentation of starch, so the prepared polyamide resin pertains to an environmentally-friendly engineering plastic.

Abstract: At training time, a base neural network can be trained to perform each of a plurality of basis subtasks included in a total set of basis subtasks (e.g., individually or some combination thereof). Next, a description of a desired combined subtask can be obtained. Based on the description of the combined subtask, a mask generator can produce a pruning mask which is used to prune the base neural network into a smaller combined-subtask-specific network that performs only the two or more basis subtasks included in the combined subtask.

Abstract: An image contrast enhancement method includes calling a neural network trained using a set of image pairs each including a first image and a second image for a same scene, inputting a third image to the neural network, and obtaining a fourth image outputted by mapping the third image via the neural network. An image contrast of the first image is lower than an image contrast of the second image, and an image contrast of the fourth image is higher than an image contrast of the third image.