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ANN Overview - Learning Outcomes

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After completing this module, you will be able to Define Perceptron and Activation Functions Describe the different Activation Functions Describe the basic structure of a neural network List the steps of the gradient descent process Distinguish between Gradient Descent, and Backward Propagation Identify the classification and regression hyperparameters
Define Keras and Tensorflow