深度残差堆叠沙漏网络设计.rar

# Train a car condition classifier from scratch This is a step by step tutorial of training a neural network classifier. The dataset I'm using is from [UCI](http://archive.ics.uci.edu/ml/datasets/Car+Evaluation). I've also wrote a detailed tutorial in Chinese in [莫烦Python](https://morvanzhou.github.io/tutorials/machine-learning/ML-practice/build-car-classifier-from-scratch1/). ## Data description **4 Classes about car's condition:** * unacc: unaccepted condition * acc: accepted condition * good: good condition * vgood: very good condition **Features:** * buying: vhigh, high, med, low. * maint: vhigh, high, med, low. * doors: 2, 3, 4, 5more. * persons: 2, 4, more. * lug_boot: small, med, big. * safety: low, med, high. ## Training **Files:** * [data_processing.py](/data_processing.py) : download data and process to an accepted format * [model.py](/model.py) : training model and view result  ## Dependencies * Python * tensorflow * pandas * numpy * matplotlib You can view more tutorials on [this page](https://morvanzhou.github.io/) or know more about me on [here](https://morvanzhou.github.io/about/).