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Python

Train a CNN model to identify captcha code with TensorFlow and Keras

In the last post (Automatically fill in captcha code in course selection system), we exploited the "Play Audio" button function to obtain the captcha code in the course selection system from my college. Today, we will be going through another approch to identify the captcha code by training a CNN model with TensorFlow and Keras.

A captcha code from the course selection system.

 

Install Needed Packages

Below are the environment and package versions that I perform the training in this post.

MacOS 10.14.6
Python: 3.7.3
numpy: 1.18.0
scikit-learn: 0.22
TensorFlow: 2.0.0
Pillow: 6.2.1

If lacking any of these packages, just simply install them with the following commands.

NumPy: pip install numpy
scikit-learn: pip install scikit-learn
TensorFlow: pip install tensorflow
Pillow: pip install Pillow

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[Matplotlib] Multiple axes with different scales

It's quite often for me to plot out the statistical data while training machine learning models. E.g., teaching models to play games.

As the records increase, the chart becomes crowded as well as difficult to see how the line grows. Therefore, a strategy come up that only plotting out the average of each 250 records in a chart.

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