deep.com -移花宫 -武林禁地，闲人禁止入内

[FreeCourseSite.com] Udemy - A deep understanding of deep learning (with Python intro)

19 - Understand and design CNNs/005 Examine feature map activations.mp4 263.6 MB
22 - Style transfer/004 Transferring the screaming bathtub.mp4 220.6 MB
19 - Understand and design CNNs/004 Classify Gaussian blurs.mp4 184.6 MB
07 - ANNs (Artificial Neural Networks)/009 Learning rates comparison.mp4 176.8 MB
24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/005 CodeChallenge sine wave extrapolation.mp4 174.7 MB
18 - Convolution and transformations/003 Convolution in code.mp4 173.8 MB
14 - FFN milestone projects/004 Project 2 My solution.mp4 163.3 MB
24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/004 Predicting alternating sequences.mp4 161.2 MB
19 - Understand and design CNNs/002 CNN to classify MNIST digits.mp4 151.9 MB
19 - Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 150.9 MB
07 - ANNs (Artificial Neural Networks)/013 Multi-output ANN (iris dataset).mp4 148.9 MB
24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/009 Lorem ipsum.mp4 148.5 MB
16 - Autoencoders/004 AEs for occlusion.mp4 144.9 MB
26 - Where to go from here/002 How to read academic DL papers.mp4 144.0 MB
19 - Understand and design CNNs/011 Discover the Gaussian parameters.mp4 143.3 MB
21 - Transfer learning/007 Pretraining with autoencoders.mp4 142.6 MB
16 - Autoencoders/006 Autoencoder with tied weights.mp4 137.9 MB
23 - Generative adversarial networks/004 CNN GAN with Gaussians.mp4 137.8 MB
09 - Regularization/004 Dropout regularization in practice.mp4 137.1 MB
07 - ANNs (Artificial Neural Networks)/008 ANN for classifying qwerties.mp4 136.7 MB

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Screens/Screen0004.png 188.1 kB
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Screens/Screen0006.png 156.8 kB
Screens/Screen0005.png 137.9 kB
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[ FreeCourseWeb.com ] Hands-On Mathematics for Deep Learning - Build a solid mathematical foundation for training efficient deep neural networks.zip

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www.Torrenting.com - House of David S01E02 Deep Calls to Deep 1080p AMZN WEB-DL DDP5 1 H 264-RAWR

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[ DevCourseWeb.com ] Deep Learning with Python - Optimizing Deep Learning Models

~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/05 - Using KerasTuner for hyperparameter tuning.mp4 24.6 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/07 - Training a deep learning model using callbacks.mp4 21.0 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/04 - Defining a tunable deep learning model in Keras.mp4 18.8 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/02 - Key hyperparameters in deep learning.mp4 15.6 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/06 - Learning rate scheduling.mp4 11.6 MB
~Get Your Files Here !/04 - 3. Loss Functions and Optimization Algorithms/01 - Common loss functions in deep learning.mp4 11.1 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/03 - Methods for hyperparameter tuning.mp4 10.8 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/07 - Applying dropout regularization to a deep learning model.mp4 10.3 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/03 - Applying L1 regularization to a deep learning model.mp4 10.3 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/01 - Parameters versus hyperparameters.mp4 10.2 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/04 - Applying L2 regularization to a deep learning model.mp4 10.0 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/03 - Gradient clipping.mp4 9.9 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/04 - Applying gradient clipping to a deep learning model.mp4 9.4 MB
~Get Your Files Here !/04 - 3. Loss Functions and Optimization Algorithms/05 - Adaptive Gradient Algorithm (AdaGrad).mp4 9.1 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/02 - Applying batch normalization to a deep learning model.mp4 8.4 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/02 - Lasso and ridge regularization.mp4 7.8 MB
~Get Your Files Here !/04 - 3. Loss Functions and Optimization Algorithms/08 - Adaptive Moment Estimation (Adam).mp4 6.4 MB
~Get Your Files Here !/07 - Conclusion/01 - Continuing to optimize deep learning models.mp4 6.4 MB
~Get Your Files Here !/02 - 1. Optimizing Deep Learning Models/01 - The importance of optimizing deep learning models.mp4 6.3 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/01 - The bias-variance trade-off.mp4 6.1 MB

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