Preface

Recently, terms like machine learning, artificial intelligence, and deep learning have become extremely popular. In this post, I use deep learning to build a simple Android app that can recognize different types of flowers. Part 1 trains an image model, which you can already use for classification on your computer. Part 2 puts the trained model into an Android project so you can do recognition on a phone.

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Before high school, I dreamed of becoming a physicist. After entering university, I gained a fresh perspective on the world. During freshman year, I attended talks in many places and took courses in other departments. Little by little, my interests in other fields surfaced. I could also feel it myself: compared with the academic path, I was more suited for engineering. In the end, I transferred—into the Department of Bio-Industrial Mechatronics Engineering (BIME).

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This post mainly describes my mindset and path from the spring semester of my freshman year through the summer.

Around the spring semester of my freshman year, I was still in the Department of Atmospheric Sciences. During winter break, I worked as a volunteer and helped Professor 林博雄 with observations. During that time, I met 石恩. He studied physics, and we got along well. Later, Professor 林博雄 needed to find students to help with software work. 石恩 was working with the professor then, so he introduced me to the professor. I had always had some exposure to programming, but at that time my level was really just a bit better than average. Still, whatever—only by taking on challenges can you level up. At the time I vaguely felt that writing code would not be a problem. But to explain that, I need to go further back.

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