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	6.2 deep neural network models (Eugenio Culurciello) View
	Keras Convolutional Neural Neural Networks for Regression and Classification (6.2) (Jeff Heaton) View
	6.2.1 Convolutional Neural Network (Cognitive Class) View
	Neural networks [6.2] : Autoencoder - loss function (Hugo Larochelle) View
	6.2 Challenges and limitations of explainability (Innov-Acts LTD) View
	L14.6.2 Transfer Learning in PyTorch -- Code Example (Sebastian Raschka) View
	Lecture 6.2 — A bag of tricks for mini batch gradient descent — [ Deep Learning \| Hinton \| UofT ] (Artificial Intelligence - All in One) View
	Deep Learning and Neural Network Introduction with Keras (3.1) (Jeff Heaton) View
	6.2 Artificial Neural Network Introduction \| Neural Network \| Machine Learning (Ritika's Tutorials for CS \u0026 IT) View
	How to Use Learning Rate Scheduling for Neural Network Training (Mısra Turp) View