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A guide to GPU-accelerated ships recognition in satellite imagery using Keras and R (part II)

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Before we start… We hope you found the first half of this post useful and interesting. Before we dive into the code, I want to explain a few important aspects of data science. Firstly, implementing data science in practice is always a research process. The goals we set have a significant impact on the methods chosen. Trying to achieve even a marginal increase in accuracy or precision can have a significant impact on the project’s duration. Development is heavily influenced by the data, as well. Achieving the same results on different data sets is not always a straightforward process. Furthermore, I want to describe why we use GPU’s over CPU’s to train our models. It is important to go into the differences between the two. CPU’s only have a few cores. Generally, each core works on a single process at…
Original Post: A guide to GPU-accelerated ships recognition in satellite imagery using Keras and R (part II)