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Deep Learning Book Chinese Translation
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球140所大学采用教学。
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
TensorFlow documentation
Python library for audio and music analysis
Automatic License Plate Recognition library
This repository is based on the project, Research on Road Obstacle Analysis Based on Road Data. In the project, we focus on the data collected by the ninebot with two android phones. During the running on the road, the sensor in the phones can get the acceleration and position of the ninebot. After getting data form several experiments, we can analyze the data by machine learning technologies, such as SVM, K-Means, LSTM and so on. The purpose of this project is to get the position of road obstacle just by android phones and their sensors. In this way, we can master road condition information easily, which is also inexpensive.
指纹识别、运动传感器、加速计、环境光感、距离传感器、指南针、陀螺仪等传感器示例集锦
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
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