Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

一个用于给福彩自动对号的工具，给福彩拍照后自动识别上面的号码，自动从网络获取本期获奖号码，与识别后的号码进行匹配，对比出改彩票是否有中奖号码

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

Andrew Ng's machine learning programming assignments on Coursera

Deep Learning Specialization by Andrew Ng on Coursera.

OpenCV图像处理的信用卡，卡号数字识别

Deep Learning Specialization by Andrew Ng on Coursera.

Implementations from the free course Deep Reinforcement Learning with Tensorflow

（完结）网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习

Medical Named Entity Recognition implement using bi-directional lstm and crf model with char embedding.CCKS2017中文电子病例命名实体识别项目,主要实现使用了基于字向量的四层双向LSTM与CRF模型的网络.该项目提供了原始训练数据样本(一般醒目,出院情况,病史情况,病史特点,诊疗经过)…

TensorFlow 中文教程 (Chinese Tutorials)

This something about deep learning on Coursera by Andrew Ng

利用树莓派实现车牌识别，其中借鉴了大神的代码，调用摄像头，实现了车牌识别，设计一款基于树莓派实现车牌识别的智能限高杆。系统可以分为辨识部分和警示部分，辨识部分以树莓派3B+为核心处理器，基于Linux平台，利用激光对准模块来判断车辆是否超出限定高度，若超过则辅以摄像头来作为抓取车辆信息。通过python3.5和OpenCV来对含有车牌信息的图片，进行高斯去噪、灰度化、边缘检测、二值化、闭操作…

Quiz & Assignment of Coursera

An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

TensorFlow Exercises - focusing on the comparison with NumPy.

scikit-learn: machine learning in Python

Deep Learning Pipelines for Apache Spark

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Simple Reinforcement learning tutorials

Scikit-learn integration package for Spark

Python implementation of Reinforcement Learning: An Introduction

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Computation using data flow graphs for scalable machine learning