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Course content
Sections:
4
•
Activities:
0
•
Resources:
63
- 01_welcome
- 02_neurons and the brain
- 03_demand prediction
- 04_example recognizing images
- 01_neural network layer
- 02_more complex neural networks
- 03_inference making predictions forward propagation
- 01_inference in code
- 02_data in tensorflow
- 03_building a neural network
- 01_forward prop in a single layer
- 02_general implementation of forward propagation
- 01_is there a path to agi
- 01_how neural networks are implemented efficiently
- 02_matrix multiplication
- 03_matrix multiplication rules
- 04_matrix multiplication code
- 01_tensorflow implementation
- 02_training details
- 01_alternatives to the sigmoid activation
- 02_choosing activation functions
- 03_why do we need activation functions
- 01_multiclass
- 02_softmax
- 03_neural network with softmax output
- 04_improved implementation of softmax
- 05_classification with multiple outputs optional
- 01_advanced optimization
- 02_additional layer types
- 01_what is a derivative optional
- 02_computation graph optional
- 03_larger neural network example optional
- 01_deciding what to try next
- 02_evaluating a model
- 03_model selection and training cross validation test sets
- 01_diagnosing bias and variance
- 02_regularization and bias variance
- 03_establishing a baseline level of performance
- 04_learning curves
- 05_deciding what to try next revisited
- 06_bias variance and neural networks
- 01_iterative loop of ml development
- 02_error analysis
- 03_adding data
- 04_transfer learning using data from a different task
- 05_full cycle of a machine learning project
- 06_fairness bias and ethics
- 01_error metrics for skewed datasets
- 02_trading off precision and recall
- 01_decision tree model
- 02_learning process
- 01_measuring purity
- 02_choosing a split information gain
- 03_putting it together
- 04_using one hot encoding of categorical features
- 05_continuous valued features
- 06_regression trees optional
- 01_using multiple decision trees
- 02_sampling with replacement
- 03_random forest algorithm
- 04_xgboost
- 05_when to use decision trees
- 01_andrew ng and chris manning on natural language processing