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Applied Deep Learning with Keras eLearning

Applied Deep Learning with Keras eLearning Improving Model Accuracy Hyperparameter Tuning with scikit learn mp4

Name

Applied Deep Learning with Keras (eLearning)

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Total Size

13.9 GB

Total Files

79

Hash

C8E3DA720B9221D244500C4372527787B5DDF681

/Applied Deep Learning with Keras (eLearning)/5 - Improving Model Accuracy/Hyperparameter Tuning with scikit-learn.mp4

215.6 MB

/Applied Deep Learning with Keras (eLearning)/5 - Improving Model Accuracy/Data Augmentation.mp4

129.4 MB

/Applied Deep Learning with Keras (eLearning)/5 - Improving Model Accuracy/Dropout Regularization.mp4

330.4 MB

/Applied Deep Learning with Keras (eLearning)/5 - Improving Model Accuracy/Other Regularization Methods.mp4

223.1 MB

/Applied Deep Learning with Keras (eLearning)/5 - Improving Model Accuracy/Regularization.mp4

251.9 MB

/Applied Deep Learning with Keras (eLearning)/5 - Improving Model Accuracy/L1 and L2 Regularization.mp4

197.5 MB

/Applied Deep Learning with Keras (eLearning)/5 - Improving Model Accuracy/Lesson Overview.mp4

125.7 MB

/Applied Deep Learning with Keras (eLearning)/5 - Improving Model Accuracy/Lesson Summary.mp4

27.1 MB

/Applied Deep Learning with Keras (eLearning)/1 - Introduction to Machine Learning with Keras/Keras.mp4

199.4 MB

/Applied Deep Learning with Keras (eLearning)/1 - Introduction to Machine Learning with Keras/Must Read.txt

0.5 KB

/Applied Deep Learning with Keras (eLearning)/1 - Introduction to Machine Learning with Keras/Model Tuning.mp4

127.3 MB

/Applied Deep Learning with Keras (eLearning)/1 - Introduction to Machine Learning with Keras/Lesson Summary.mp4

33.2 MB

/Applied Deep Learning with Keras (eLearning)/1 - Introduction to Machine Learning with Keras/Model Training.mp4

316.3 MB

/Applied Deep Learning with Keras (eLearning)/1 - Introduction to Machine Learning with Keras/Regularization.mp4

179.4 MB

/Applied Deep Learning with Keras (eLearning)/2 - Machine Learning versus Deep Learning/Lesson Summary.mp4

24.5 MB

 

Showing first 15 files of 79 total files


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