Neuralnets 2012 001 04 Lecture4 04 Neuro probabilistic language models min txt

Neuralnets 2012 001
04 Lecture4 04 Neuro probabilistic language models min txt

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/04_Lecture4/04_Neuro-probabilistic_language_models_8_min.txt	7.2 KB
/04_Lecture4/04_Neuro-probabilistic_language_models_8_min.srt	11.0 KB
/04_Lecture4/04_Neuro-probabilistic_language_models_8_min.mp4	9.4 MB
/04_Lecture4/04_Neuro-probabilistic_language_models_8_min.pdf	140.1 KB
/02_Lecture2/04_Why_the_learning_works_5_min.txt	4.3 KB
/03_Lecture3/04_The_backpropagation_algorithm_12_min.txt	10.0 KB
/08_Lecture8/04_Echo_State_Networks_9_min.txt	8.0 KB
/10_Lecture10/01_Why_it_helps_to_combine_models_13_min.txt	11.8 KB
/15_Lecture15/01_From_PCA_to_autoencoders_5_mins.txt	7.0 KB
/01_Lecture1/02_What_are_neural_networks_8_min.txt	7.7 KB
/01_Lecture1/03_Some_simple_models_of_neurons_8_min.txt	7.1 KB
/04_Lecture4/01_Learning_to_predict_the_next_word_13_min.txt	11.1 KB
/15_Lecture15/02_Deep_auto_encoders_4_mins.txt	3.7 KB
/01_Lecture1/05_Three_types_of_learning_8_min.txt	7.0 KB
/02_Lecture2/03_A_geometrical_view_of_perceptrons_6_min.txt	5.5 KB
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