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VOOZH | about |
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VOOZH | about |
By Keshav Aggarwal and Shaoni Mukherjee
If you are building deep learning models, you may need to sit for hours (or even days) before you can see any real results. You may need to stop model training to change the learning rate, push training logs to the database for future use, or show the training progress in TensorBoard. We may need to do a lot of work to achieve these basic tasks—that’s where TensorFlow callbacks come into the picture.
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With a strong background in data science and over six years of experience, I am passionate about creating in-depth content on technologies. Currently focused on AI, machine learning, and GPU computing, working on topics ranging from deep learning frameworks to optimizing GPU-based workloads.
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