keras
Background
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Provider: Alura
Deep dive into the mathematical mechanics of training. Explored the logic behind backpropagation, gradient descent, and the optimization of loss functions to adjust internal weights and ensure model convergence.
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Provider: Alura
Practical implementation of neural networks using the Keras high-level API. Focused on data preparation, building Sequential models, and executing training cycles for supervised learning tasks.
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Provider: Alura
Applied Keras for predictive modeling, focusing on hyperparameter tuning, model evaluation metrics, and optimizing neural networks for high-accuracy forecasting in production environments.
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Provider: Alura
Foundational implementation of neural networks. Covered data preprocessing for deep learning, building sequential models, and understanding activation functions in a supervised learning context.