ngraph — NGraph - open source C++ library, compiler an...
🍂 CK workflow for MILEPOST GCC (machine learning based compiler) to let the community reproduce and build upon our past R&D projects. See related project funded by Raspberry Pi foundation to crowd-tune programs across RPi devices provided by volunteers and apply machine learning (decision trees, deep learning, etc) to acclerate optimization:
🍂 Demonstration of compiler autotuning, crowd-tuning and machine learning on RPi3 via customizable Collective Knowledge workflow framework with a portable package manager. This technology supports Pareto-efficient software/hardware co-design tournaments of deep learning in terms of speed, accuracy, energy, costs:
🍂 A relevant optimized introduction to techniques and approaches involved in OpenCV and its current use applicable to image augmentation for Deep Learning. A learning of OpenCV step by step with all major augmentation techniques covered and study of Computer Graphics using OpenCV with geometric transformations are also covered. It is derived from various tutorial sources including pyimagesearch and OpenCV docs itself. A handy resource for OpenCV enthusiasts and for people searching for Image Augmentation using ComputerVision
🥀 Deep Learning CNN implements in C++ with the same function of Matlab Deep Learning Toolbox. It only needs to install visual studio. Unlike other C++ code, my code doesn't need any other dependences. It is only for do some test and research work, and is not suitable for building big project
🍂 I had accomplished Andrew Ng’s Deep Learning Specialization course series in Coursera. I hope this review would be insightful for those whom might want to enter this field or simply consolidate your deep learning knowledge. This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. DeepLearning.ai contains five courses which can be taken on Coursera.