Basic application examples of artificial intelligence using tensorflow.

• 01.Basic classifier
• 02.Slim Basic classifier
• 03.Python-Model-And-Java-API
• 04.Recognize MNIST With Fully Connected
• 05.Recognize MNIST With CNN
• 06.Text-Classify-With-CNN
• 07.Text-Classify-With-RNN
• 08.Handwriting-Generated-With-GAN
• 09.Face-Recognition-By-Image-Classification
• 10.Face-Generated-With-GAN
• 11.Identification-Codes-Reg-CRNN

Each of the directories is an independent project, and you can run it in the environment on Python 3.5 and TensorFlow 1.2.1+.

1. The main reason is that I'm building an all-in-one platform for deep learning and need a variety of examples to help me verify the platform's reliability and usefulness.
   
2. Simultaneously, many friends hope that I can help them learn deep learning. In order to avoid duplication of work, I sorted out relevant information and placed it on GitHub, so that more people can learn quickly.

All of the examples are not commercialized products, but only demo - level examples, limited to learning, and real commercial applications need to be optimized and promoted.

1. If the data of the training set is infringed or unreasonably used, please tell me that I will delete it in time.
   
2. You can use all the code in the samples for free.

Any questions please contact me，email address:[email protected].