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How Gradient Descent Works Simple Explanation
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=Gbz8RljxIHo
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. • #deeplearning #gradientdescent #ai
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