Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization (Course 2 of the Deep Learning Specialization)
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What you'll learn
This course includes
- 4.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 34 lessons • 4.5 hours of video
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization (Course 2 of the Deep Learning Specialization)
34 lessons
• 4.5 hours
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization (Course 2 of the Deep Learning Specialization)
34 lessons
• 4.5 hours
- Train/Dev/Test Sets (C2W1L01) 12:05
- Bias/Variance (C2W1L02) 08:47
- Basic Recipe for Machine Learning (C2W1L03) 06:22
- Regularization (C2W1L04) 09:43
- Why Regularization Reduces Overfitting (C2W1L05) 07:10
- Dropout Regularization (C2W1L06) 09:26
- Understanding Dropout (C2W1L07) 07:05
- Other Regularization Methods (C2W1L08) 08:24
- Normalizing Inputs (C2W1L09) 05:31
- Vanishing/Exploding Gradients (C2W1L10) 06:08
- Weight Initialization in a Deep Network (C2W1L11) 06:12
- Numerical Approximations of Gradients (C2W1L12) 06:36
- Gradient Checking (C2W1L13) 06:35
- Gradient Checking Implementation Notes (C2W1L14) 05:19
- Mini Batch Gradient Descent (C2W2L01) 11:29
- Understanding Mini-Batch Gradient Dexcent (C2W2L02) 11:19
- Exponentially Weighted Averages (C2W2L03) 05:59
- Understanding Exponentially Weighted Averages (C2W2L04) 09:42
- Bias Correction of Exponentially Weighted Averages (C2W2L05) 04:12
- Gradient Descent With Momentum (C2W2L06) 09:21
- RMSProp (C2W2L07) 07:42
- Adam Optimization Algorithm (C2W2L08) 07:08
- Learning Rate Decay (C2W2L09) 06:45
- Tuning Process (C2W3L01) 07:11
- Using an Appropriate Scale (C2W3L02) 08:51
- Hyperparameter Tuning in Practice (C2W3L03) 06:52
- Normalizing Activations in a Network (C2W3L04) 08:55
- Fitting Batch Norm Into Neural Networks (C2W3L05) 12:56
- Why Does Batch Norm Work? (C2W3L06) 11:40
- Batch Norm At Test Time (C2W3L07) 05:47
- Softmax Regression (C2W3L08) 11:48
- Training Softmax Classifier (C2W3L09) 10:08
- The Problem of Local Optima (C2W3L10) 05:24
- TensorFlow (C2W3L11) 16:08
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