COMBINING DEEP LEARNING MODEL COMPRESSION TECHNIQUES

 In this article, we evaluate the performance ofcombining several model compression techniques. The techni-ques assessed were dark knowledge distillation, pruning, andquantization. We use the classification of chest x-rays as ascenario of experimentation. From this scenario, we found thatthe combination of these three techniques yielded a new modelc...

DEEP LEARNING COMPRESSION TECHNIQUES

COMBINING DEEP LEARNING MODEL COMPRESSION TECHNIQUES

 In this article, we evaluate the performance ofcombining several model compression techniques. The techni-ques assessed were dark knowledge distillation, pruning, andquantization. We use the classification of chest x-rays as ascenario of experimentation. From this scenario, we found thatthe combination of these three techniques yielded a new modelc...

DEEP LEARNING COMPRESSION TECHNIQUES

COMBINING DEEP LEARNING MODEL COMPRESSION TECHNIQUES

 In this article, we evaluate the performance ofcombining several model compression techniques. The techni-ques assessed were dark knowledge distillation, pruning, andquantization. We use the classification of chest x-rays as ascenario of experimentation. From this scenario, we found thatthe combination of these three techniques yielded a new modelc...

DEEP LEARNING COMPRESSION TECHNIQUES

Develop a system for high compression and decompression of Photograph and documents without loss of Quality

 JPEG Decompression methods are exceptionally helpful in 3G/4G based markets, handheld gadgets and frameworks. There are many testing systems in already proposed decompression techniques, as high computational cost, and overwhelming distortion in ringing and blocking artifacts which makes the picture imperceptible. To enhance the visual nature of th...