Book (Practical) Computer The First Deep Learning 2 Python Implementation of a Resilient Neural Network. VAE. GAN Network server

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Computer
This is the second installment of the basics of deep learning taught by a popular lecturer on the online educational platform Udemy. The previous installment, 「's first deep learning 」, gave an easy-to-understand explanation of the underlying neural to-understand way for beginners. In this installment, however, I will explain how to implement the Recurrent Neural Network (RNN) and the deep learning generation models VAE (Variational Autoencoder) and GAN (Generative Adversarial Networks). Of course, the program is implemented only in Python, following the previous installment, without relying on the existing framework. [Features of this book] ・ For those who haven't read the previous installment, I have a chapter on Python, mathematics, and neural network basics. ・ The example program is written only in Python without using a framework. Therefore, the principle of coding mathematical expressions is easy for beginners to understand. ・ The example program is available for download from SB Creative Corporation. ・ Python3, Jupyter Notebook, Google Colaboratory