Sección: 04 - NN - Neural Networks | AT2.MDD 57 – Scientific programming with Julia

SPMLJ - 04 NN - 1: Introduction to Neural Networks (1h:25:17)

SPMLJ - 04 NN - 1A: Introduction and motivations (5:32) Página

SPMLJ - 04 NN - 1B: Feed-forward neural networks (18:57) Página

SPMLJ - 04 NN - 1C: How to train a neural network (18:4) Página

SPMLJ - 04 NN - 1D: Convolutional neural networks (13:21) Página

SPMLJ - 04 NN - 1E: Multiple layers in convolutional neural networks (10:33) Página

SPMLJ - 04 NN - 1F: Recurrent neural networks (17:49) Página

SPMLJ - 04 NN - 2: Neural Network examples in Julia (50:18)

SPMLJ - 04 NN - 2A: Binary classification (15:54) Página

SPMLJ - 04 NN - 2B: Multinomial classification (15:1) Página

SPMLJ - 04 NN - 2C: Regression (6:3) Página

SPMLJ - 04 NN - 2D: Convolutional neural networks (13:19) Página

House value prediction with Neural Networks (regression) Tarea

Wine class prediction with Neural Networks (multinomial classification) Tarea

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