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	6.2: Inside Backpropagation Calculation (Module 6, Part 2) (Jeff Heaton) View
	6.3: Inside the ADAM Update Rule for Backpropagation (Module 6, Part 3) (Jeff Heaton) View
	6.1: Backpropagation Introduction for Keras and Tensorflow (Module 6, Part 1) (Jeff Heaton) View
	Neural Networks - Backpropagation calculation with an example (AI Aspirants) View
	[MINI] Backpropagation (Data Skeptic) View
	7.2: Convolution Neural Network, Deep Learning (Module 7, Part 2) (Jeff Heaton) View
	K Means Clustering Algorithm \| K Means Solved Numerical Example Euclidean Distance by Mahesh Huddar (Mahesh Huddar) View
	Lec-7: kNN Classification with Real Life Example \| Movie Imdb Example \| Supervised Learning (Gate Smashers) View
	7.1: Datasets for Computer Vision in Tensorflow and Keras (Module 7, Part 1) (Jeff Heaton) View
	PyTorch - The Basics (Dennis Madsen) View