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此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
Python package for fractional-order derivative operators
The LeNet is realized by Numpy but not by TensorFlow, MXNet, Caffe or other tools. This work is for fundamental research like optimization in neural networks.
The Backward Propogation Neural Networks are realized only by Numpy
Lake and Water Body Retrieval from Landsat and Sentinel data