Truth Revealed
02 Hyperparameter tuning using an appropriate scale to pick hyperparameters
8:51
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01 Hyperparameter tuning Tuning process
7:11
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05 Optimization algorithms bias correction in exponentially weighted averages
4:12
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10 Optimization algorithms the problem of local optima
5:24
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03 Optimization algorithms exponentially weighted averages
5:59
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01 Optimization algorithms Mini batch gradient descent
11:29
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04 Optimization algorithms understanding exponentially weighted averages
9:42
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02 Optimization algorithms understanding mini batch gradient descent
11:19
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06 Optimization algorithms Gradient descent with momentum
9:21
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07 Optimization algorithms RMSprop
7:42
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08 Optimization algorithms Adam optimization algorithm
7:08
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09 Optimization algorithms Learning rate decay
6:45
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02 Setting up your ML application Bias and Variance
8:47
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01 Setting up your ML application Train Dev Test Sets
12:05
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05 Regularizing your neural network Why Regularization reduces overfitting
7:10
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08 Regularizing your neural network other reularization methods
8:24
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11 Setting up your optimization problem Weight initialization for deep networks
6:12
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06 Regularizing your neural network droptout regularization
9:26
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09 Setting up your optimization problem normalizing inputs
5:31
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03 Setting up your ML application Basic recipe for machine learning
6:22
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04 Regularizing your neural network Regularization
9:43
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10 Setting up your optimization problem Vanishing Exploding Gradient
6:08
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07 Regularizing your neural network understanding droptout
7:05
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02 DNN Forward propagation in a DNN
7:16
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05 DNN Building blocks of DNN
8:34
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08 DNN What does this have to do with the brain
3:18
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03 DNN Getting your matrix dimensions right
11:10
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06 DNN Forward and Backward propagation
10:30
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07 DNN Parameters vs Hyperparameters
7:17
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01 DNN Deep L layer NN
5:52
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04 DNN Why deep representations
10:34
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06 Shallow Networks Activation functions
10:57
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02 Shallow networks NN Representation
5:15
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08 Shallow Networks Derivatives of activation functions
7:58
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12 Heroes of Deep Learning Ian Goodfellow
14:56
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10 Shallow networks Backpropagation intuition
15:49
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07 Shallow networks Why do you need non linear activation functions
5:36
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09 Shallow networks Gradient descent for neural networks
9:58
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05 Shallow Networks Explanation for vectorized implementation
7:38
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04 Shallow networks Vectorizing across multiple examples
9:06
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11 Shallow networks Random Initialization
7:58
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03 Shallow Networks Computing a NN's Output
9:58
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01 Shallow networks NN overview
4:27
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16 Python and vectorization A note on python numpy vectors
6:50
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04 Logistic Regression as a Neural Network Gradient Descent
11:24
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11 Python and vectorization Vectorization
8:05
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14 Python and vectorization Vectorizing Logistic Regression's Gradient Computation
9:38
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06 Logistic Regression as a Neural Network More Derivatives examples
10:28
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05 Logistic Regression as a Neural Network Derivatives
7:11
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08 Logistic Regression as a Neural Network Derivatives with Computation graph
14:34
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07 Logistic Regression as a Neural Network Computation graph
3:34
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12 Python and Vectorization More Vectorization examples
6:20
Truth Revealed
02 Logistic regression as a Neural Network Logistic Regression
6:00
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01 Logistic Regression as a Neural Network binary classification
8:24
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09 Logistic Regression as a Neural Netowrk Logistic Regression Gradient Descent
6:43
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15 Python and vectorization Broadcasting in Python
11:06
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13 Python and Vectorization Vectorizing Logistic Regression
7:33
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03 Logistic Regression as a Neural Network Logistic Regression Cost Function
8:12
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10 Logistic regression as a Neural Network Gradient descent on m examples
8:01
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06 Setting up your goal size of dev and test sets
5:40
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02 Introduction to ML Strategy Orthogonalization
10:39
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03 Setting up your goal single number evaluation metric
7:17
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01 Introduction to ML Strategy Why ML Strategy
2:43
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07 Setting up your goal When to change dev test sets and metrics
11:08
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04 Setting up your goal Satisficing and optimizing Metrics
5:59
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05 Setting up your goal training dev test distributions
6:36
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02 Introduction to Deep learning What is a neural network
7:17
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05 Introduction to Deep learning About this course
2:28
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04 Introduction to Deep learning Why is deep learning taking off
10:22
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03 Introduction to Deep learning Supervised learning with Neural networks
8:29
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01 Introduction to Deep Learning Welcome
5:32
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06 Introduction to Deep learning Course resources
1:56