Nazanin 🐹 (nazaninn)

Day 18 #100daysofMachineLearning Finished the first programming exercise for week 1 of the second course. Learnt how to implement zero, random and He initializations (designed for layers with ReLu activation functions) in code.

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Day 29 #100daysofMachineLearning Completed the second course of the Deep Learning Specialization 🚀.

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Day 17 #100daysofMachineLearning Picked up the second course in the DL specialization on improving deep neural networks. In this video, I learnt that DL is a highly iterative process and it's almost impossible to accurately get the right set of hyperparameters at first guess.

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Day 28 #100daysofMachineLearning Learnt about the two major school of thoughts on hyperparamter tuning (pandas vs cavier approach). You can either choose babysit one model and monitor its performance or train multiple models in parallel and pick the one that works best.

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