Deep Learning - Artificial Neural Networks with Tensorflow - Making Predictions

Deep Learning - Artificial Neural Networks with Tensorflow - Making Predictions

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Information Technology (IT), Architecture, Social Studies, Mathematics

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The video tutorial covers the process of making predictions using models, emphasizing the importance of predictions in supervised learning. It explains the fit and predict functions, particularly in the context of TensorFlow and Keras API. The tutorial demonstrates how to calculate accuracy manually and compare it with model evaluation results. It also discusses making predictions with regression models and visually confirming their accuracy. Finally, it verifies predictions manually, ensuring they match those obtained through model prediction functions.

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OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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