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Text recognition (optical character recognition) with deep learning methods, ICCV 2019
Jupyter notebooks from the scikit-learn video series
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Introduction to Deep Neural Networks with Keras and Tensorflow
Keras implementation of Deeplab v3+ with pretrained weights
仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层;以及图像分类案例及精调网络案例等,持续更新中... ...
Use CNN to detect nodules in LIDC dataset.
keras实现人证比对论文《Large-scale Bisample Learning on ID vs. Spot Face Recognition》的核心思想; 当类别数非常大时(超过百万),GPU显存可能无法装载权重参数;可以使用支配原型概念,每个step将相关的类别一块训练,step开始时将当前mini-batch的类别原型权重加载到GPU中,而不用加载所有的类别权重参数; step…
论文Low-Shot Learning with Imprinted Weights 的keras 版简要实现;
Implementation of image processing techniques to get the correction of tilt in text images.
(Python) Stat 689 Project - zero inflated Poisson regression package in Python.