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Artificial Intelligence (AI)
Lesson 1  What is Artificial Intelligence?
Lesson 2  AI Example 1 : Image Analysis
Lesson 3  AI Example 2 : Natural Language / Chatbot
Lesson 4  AI Example 3 : Future Estimation
Lesson 5  Dawn of AI
Lesson 6  Benefit / Weakness of AI
Lesson 7  Possibility / Impossibility of AI
Lesson 8  About Machine Learning
Lesson 9  About Deep Learning
Lesson 10  Why AI Gathers Attentions?
Lesson 11  Deep Learning on Image Recognition
Lesson 12  Deep Learning on Natural Language
Lesson 13  Artificial Neuron
Lesson 14  Activation Function
Lesson 15  Convolution
Lesson 16  Pooling
Lesson 17  Network Architecture for Deep Learning
Lesson 18  Parameter Adjustment Method
Lesson 19  Learning Optimization
Lesson 20  Mini Batch
Lesson 21  Overfitting
Lesson 22  Recurrent Neural Network
Lesson 23  LSTM
Lesson 24  AI Technology on Images
Lesson 25  Deconvolution
Lesson 26  Pointwise Convolution
Lesson 27  Network Architecture for Image Classification
Lesson 28  Network Architecture for Semantic Segmentation
Lesson 29  Batch Normalization

References
Tomohiro Odaka, Machine Learning and Deep Learning - Simulation with C, Ohmsha
Tadao Yamaoka, Deep Learning on Shogi AI, Mynavi Publishing Corp.
Takeshi Fujita, Deep Learning in C++, Mynavi Publishing Corp.
Team Karupo, Object Detection, GAN, AutoEncoder, and Image Processing, Shuwa System Co., Ltd.
Yuzo Hirai, Introduction of Pattern Recognition, Morikita Publishing Co., Ltd.

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