DevCourseWeb com Deep Learning with Python Optimizing Deep Learning Models

DevCourseWeb com Deep Learning with Python Optimizing Deep Learning Models

Name	[ DevCourseWeb.com ] Deep Learning with Python - Optimizing Deep Learning Models	DOWNLOAD Copy Link
Total Size	276.3 MB
Total Files	66
Last Seen	2025-03-10 00:26
Hash	01EEFE0DCD6F14F560C915204D35F301EA2E941E

/
Get Bonus Downloads Here.url	0.2 KB
/01 - Introduction/
01 - Optimizing deep learning models.mp4	3.7 MB
01 - Optimizing deep learning models.srt	1.5 KB
02 - What you should know.mp4	1.2 MB
02 - What you should know.srt	1.4 KB
03 - Using the exercise files.mp4	2.9 MB
03 - Using the exercise files.srt	2.2 KB
/.../02 - 1. Optimizing Deep Learning Models/
01 - The importance of optimizing deep learning models.mp4	6.3 MB
01 - The importance of optimizing deep learning models.srt	5.2 KB
/.../03 - 2. Regularization Techniques/
01 - The bias-variance trade-off.mp4	6.1 MB
01 - The bias-variance trade-off.srt	5.8 KB
02 - Lasso and ridge regularization.mp4	7.8 MB
02 - Lasso and ridge regularization.srt	6.6 KB
03 - Applying L1 regularization to a deep learning model.mp4	10.3 MB
03 - Applying L1 regularization to a deep learning model.srt	4.7 KB
04 - Applying L2 regularization to a deep learning model.mp4	10.0 MB
04 - Applying L2 regularization to a deep learning model.srt	5.1 KB
05 - Elastic Net regularization.mp4	4.9 MB
05 - Elastic Net regularization.srt	4.1 KB
06 - Dropout regularization.mp4	4.9 MB
06 - Dropout regularization.srt	4.6 KB
07 - Applying dropout regularization to a deep learning model.mp4	10.3 MB
07 - Applying dropout regularization to a deep learning model.srt	4.5 KB
/.../04 - 3. Loss Functions and Optimization Algorithms/
01 - Common loss functions in deep learning.mp4	11.1 MB
01 - Common loss functions in deep learning.srt	8.1 KB
02 - Batch gradient descent.mp4	5.9 MB
02 - Batch gradient descent.srt	6.0 KB
03 - Stochastic gradient descent (SGD).mp4	4.8 MB
03 - Stochastic gradient descent (SGD).srt	4.9 KB
04 - Mini-batch gradient descent.mp4	5.7 MB
04 - Mini-batch gradient descent.srt	6.3 KB
05 - Adaptive Gradient Algorithm (AdaGrad).mp4	9.1 MB
05 - Adaptive Gradient Algorithm (AdaGrad).srt	7.8 KB
06 - Root Mean Square Propagation (RMSProp).mp4	4.5 MB
06 - Root Mean Square Propagation (RMSProp).srt	3.9 KB
07 - Adaptive Delta (AdaDelta).mp4	2.7 MB
07 - Adaptive Delta (AdaDelta).srt	2.9 KB
08 - Adaptive Moment Estimation (Adam).mp4	6.4 MB
08 - Adaptive Moment Estimation (Adam).srt	5.4 KB
/.../05 - 4. Hyperparameter Tuning Techniques/
01 - Parameters versus hyperparameters.mp4	10.2 MB
01 - Parameters versus hyperparameters.srt	7.6 KB
02 - Key hyperparameters in deep learning.mp4	15.6 MB
02 - Key hyperparameters in deep learning.srt	12.9 KB
03 - Methods for hyperparameter tuning.mp4	10.8 MB
03 - Methods for hyperparameter tuning.srt	10.5 KB
04 - Defining a tunable deep learning model in Keras.mp4	18.8 MB
04 - Defining a tunable deep learning model in Keras.srt	10.0 KB
05 - Using KerasTuner for hyperparameter tuning.mp4	24.6 MB
05 - Using KerasTuner for hyperparameter tuning.srt	11.8 KB
/.../06 - 5. Advanced Training Techniques/
01 - Batch normalization.mp4	5.2 MB
01 - Batch normalization.srt	5.0 KB
02 - Applying batch normalization to a deep learning model.mp4	8.4 MB
02 - Applying batch normalization to a deep learning model.srt	4.5 KB
03 - Gradient clipping.mp4	9.9 MB
03 - Gradient clipping.srt	8.0 KB
04 - Applying gradient clipping to a deep learning model.mp4	9.4 MB
04 - Applying gradient clipping to a deep learning model.srt	4.5 KB
05 - Early stopping and checkpointing.mp4	5.3 MB
05 - Early stopping and checkpointing.srt	5.8 KB
06 - Learning rate scheduling.mp4	11.6 MB
06 - Learning rate scheduling.srt	8.4 KB
07 - Training a deep learning model using callbacks.mp4	21.0 MB
07 - Training a deep learning model using callbacks.srt	10.4 KB
/07 - Conclusion/
01 - Continuing to optimize deep learning models.mp4	6.4 MB
01 - Continuing to optimize deep learning models.srt	5.6 KB
/~Get Your Files Here !/
Bonus Resources.txt	0.1 KB
Total files 66