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03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/08-demonstration_next_word_prediction_layers.mp4 61.8 MB
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【影视】 [DesireCourse.Com] Udemy - Deep Learning GANs and Variational Autoencoders

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04 Generative Adversarial Networks GANs/033 Tensorflow Implementation.mp4 29.0 MB
03 Variational Autoencoders/020 Tensorflow Implementation pt 3.mp4 28.7 MB
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【影视】 [ DevCourseWeb.com ] Udemy - Hands-On Keras for Machine Learning Engineers

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1.Improving Your Models Using Feature Engineering/03.Implementing Feature Engineering with Logistic Regression.mp4 10.1 MB
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1.Improving Your Models Using Feature Engineering/06.Build Model Based on Real-World Problems.mp4 13.2 MB
2.Feature Improvement with Non Linear Classification Techniques/07.Support Vector Machines.mp4 20.7 MB
2.Feature Improvement with Non Linear Classification Techniques/08.Implementing kNN on the Data Set.mp4 30.9 MB
2.Feature Improvement with Non Linear Classification Techniques/09.Decision Tree as Predictive Model.mp4 24.5 MB
2.Feature Improvement with Non Linear Classification Techniques/10.Tricks with Dimensionality Reduction.mp4 18.9 MB
2.Feature Improvement with Non Linear Classification Techniques/11.Combining All Together.mp4 19.6 MB
3.Power of Ensemble Learning with Python/12.Random Forest for Classification.mp4 21.5 MB
3.Power of Ensemble Learning with Python/13.Gradient Boosting Trees and Bayes Optimization.mp4 30.1 MB
3.Power of Ensemble Learning with Python/14.CatBoost to Handle Categorical Data.mp4 17.9 MB
3.Power of Ensemble Learning with Python/15.Implement Blending.mp4 24.4 MB
3.Power of Ensemble Learning with Python/16.Implement Stacking.mp4 29.7 MB
4.Recommender Systems/17.Memory-Based Collaborative Filtering.mp4 19.7 MB
4.Recommender Systems/18.Item-to-Item Recommendation with kNN.mp4 19.3 MB
4.Recommender Systems/19.Applying Matrix Factorization on Datasets.mp4 24.8 MB
4.Recommender Systems/20.Wordbatch for Real-World Problem.mp4 19.2 MB

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