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Introduction to Deep Learning : Attention Mechanism [spanish]

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Stanford CS229: Machine Learning | Summer 2019 | Lecture 8 - Kernel Methods & SVM - Español

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Stanford CS229: Machine Learning | Summer 2019 | Lecture 7 - GDA, Naive Bayes & Laplace - Español

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Stanford CS229: Machine Learning | Summer 2019 | Lecture 6 - Exponential Family & GLM - Español

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Stanford CS229: Machine Learning | Summer 2019 | Lecture 5 -Perceptron / Logistic Regression-Español

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Stanford CS229: Machine Learning | Summer 2019 | Lecture 4 - Linear Regression - Español

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Stanford CS229: Machine Learning | Summer 2019 | Lecture 3 - Probability and Statistics - Español

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Stanford CS229: Machine Learning | Summer 2019 | Lecture 2 -Matrix Calculus and Probability- Español

1:45:02

Stanford CS229: Machine Learning | Summer 2019 | Lecture 2 - Matrix Calculus and Probability-Español

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Stanford CS229: Machine Learning | Summer 2019 | Lecture 1 - Español

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Modelos generativos basados en difusión y puntuación

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Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 10 - Transformers and Pretraining |ES

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Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 8 - Spanish Loquendo

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CS25 I Stanford Seminar - Transformers United 2022: DL Models that have revolutionized NLP, CV, RL

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AMMI 2022 Course 'Geometric Deep Learning' - Lecture 2 (Learning in High Dimensions) - Joan Bruna

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Topological Deep Learning

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Variational Autoencoders [ES version]

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MIT 6.S191: Aprendizaje por refuerzo

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Redes neuronales líquidas, idea que permite que la IA aprenda incluso después del entrenamiento

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prueba

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Introduction to Philosophy Further Discussions Class11 Week5

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Introduction to Philosophy [Español] Where Next? Class10 Week5

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Introduction to Philosophy [Español] Two Senses of Change Class8 Week5

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Introduction to Philosophy [Español] Grandfather Paradoxes Class7 Week5