It’s comparatively easy to operate and work in. The brainchild of Google (the software was developed by the Google Brain team, so yes, pun intended), TensorFlow is an open-source library that is most commonly used today to design neural networks. That’s why we’ve turned our attention to one of the best-known software pieces in the industry, TensorFlow. This time, we would like to cover the other side of an AI development process, which is building a machine learning algorithm. However, last time we focused on CVAT (an annotation software) since it’s what we are quite familiar with, working with it on a daily basis. We’ve already talked about one tool in our blog. Pros of TensorFlow: Flexibility and Computational ModerationĬons of TensorFlow: Reliability and Complexity Building Your Machine Learning Model: Is TensorFlow a Good Option?
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