
I'm an independent girl with a passion for programming and computers.
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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.
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.
Day 29 #100daysofMachineLearning Completed the second course of the Deep Learning Specialization 🚀.
Day 27 #100daysofMachineLearning Rewatched the tuning process video to gain a better intuition. Noted that the learning rate is the most important hyperparameter to tune during training. Also learnt about the methods used in selecting the best values for the hyperparameters.