Lab Materials for MIT 6.S191: Introduction to Deep Learning
:speech_balloon: Machine Learning Course with Python. Refer to the course page for step-by-step explanations.
Python code to use the PCA9685 PWM servo/LED controller with a Raspberry Pi or BeagleBone black.
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。
The basic distribution probability Tutorial for Deep Learning Researchers
The world's simplest facial recognition api for Python and the command line
PredictionIO, a machine learning server for developers and ML engineers.
TensorFlow - A curated list of dedicated resources http://tensorflow.org
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
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。
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
:apple:Distinguish color and shape to use of OpenMV . It can send data to stm32 and stm32 can receive data to show in display device（OpenMv：Python，Stm32：C）
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