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Week01_pa GitHub Pages

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Just Now Momentum is a method that helps accelerate SGD in the relevant direction and dampens oscillations as can be seen in image below. It does this by adding a fraction α of the update vector of the past time step to the current update vector. ν t = α ν t − 1 + η 1 m ∑ j = 1 m ∇ w L ( w t, x i j, y i j) w t = w t − 1 − ν t.

Website: https://aadimator.github.io/advanced-ml-specialization/1-intro-to-deep-learning/week1/week01_pa.html

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Logistic Regression With A Neural Network Mindset V3

Flattened Aadimator.github.io

Just Now After this, our training (and test) dataset is a numpy-array where each column represents a flattened image. There should be m_train (respectively m_test) columns. Exercise: Reshape the training and test data sets so that images of size (num_px, num_px, 3) are flattened into single vectors of shape (num_px $*$ num_px $*$ 3, 1).

Website: https://aadimator.github.io/deep-learning-specialization/1.%20Neural%20Networks%20and%20Deep%20Learning/Week%202/Logistic+Regression+with+a+Neural+Network+mindset+v3.html

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