MIT 6.S191 Lecture 1: Intro to Deep Learning MIT 6.S191 Lecture 1: Intro to Deep Learning begin-post-stats Harini Suresh • 40K views end-post-stats begin-duration 34:57 end-duration Math topics: _Statistical_theory_##Statistical theory##_Overfitting_##Overfitting##_Information_theory_##Information theory##_Stochastic_gradient_descent_##Stochastic gradient descent Other topics: _Artificial_neural_networks_##Artificial neural networks##_Deep_learning_##Deep learning##_Activation_function_##Activation function##_Backpropagation_##Backpropagation##_Multilayer_perceptron_##Multilayer perceptron##_Perceptron_##Perceptron##_Learning_##Learning##_Statistical_classification_##Statistical classification##_Machine_learning_##Machine learning##_Skill_##Skill##_Computational_linguistics_##Computational linguistics##_Machine_translation_##Machine translation##_Natural_language_processing_##Natural language processing##_Speech_recognition_##Speech recognition video-id: IgSuFYamZas channel_Harini_Suresh_ So What Learning Artificial neural networks , Computational linguistics , Learning , Statistical theory Sunday, January 21, 2018 Share Share
