Video explain what is gradient descent and how gradient descent works with a simple example. Basic intuition and explanation are revealed in the video.The content is:

0:09 - What is Gradient Descent.

0:30 - Example

0:39 - Step no. 1. Start with a random point and find the gradient (derivative) of the given function.

1:28 - Step no. 2. Set learning rate to get know how big should be a step to move forward on gradient descent to the opposite direction.

1:47 - Step no. 3. Perform calculations on iterations.

1:58 - Initialize parameters.

2:20 - calculations on the 1st iteration.

3:20 - calculations on the 2nd iteration.

4:26 - till we reach global or local minimum.

I hope that this explanation on how gradient descent works is useful for beginners of deep learning or good reminder for machine learning / deep learning experts.

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16.35 GEEK