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	3.4: Neural Network Calculation (Module 3, Part 4) (Jeff Heaton) View
	Neural Network Training (Part 4): Backpropagation (Jeff Heaton) View
	How Neural Networks Work - Training - Part 4 (James Oliver) View
	Reference code : COMPARATIVE STUDY OF PREDICTING SOLID WASTE GENERATION USING MLR AND ANN. (Syed Harun) View
	Unit 3.4 \| Automatic Differentiation in PyTorch (Lightning AI) View
	Conformer: Convolution-augmented Transformer for Speech Recognition #nlp (Prabhjot Gosal) View
	3.0 back-propagation algorithm: introduction (Eugenio Culurciello) View
	Early Stopping in Keras to Prevent Overfitting (3.4) (Jeff Heaton) View
	The Backpropagation algorithm for a math student (Mathelecs) View
	Introduction to Deep Learning - Module 3 - Video 68: Conjugate Gradients (Aly El Gamal) View