CSCI 4050U
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Part II: Neural Networks
Introduction
Part I: Prerequisites
Introduction
☑ Numpy
☑ Vectorized computation
☑ Masking and aggregation
▶ Plotting
▶ Linear Algebra
▶ Lines and Planes
☐ Calculus
☐ Optimization
☐ PyTorch
Part II: Neural Networks
Introduction
☐ Regression
☐ Logistic Regression
☐ Multi-layer Perceptron
Part III: Machine Learning Workflow
Introduction
☐ Training
☐ Evaluation
Part IV: Images
Introduction
☐ Image Representations
☐ Convolution and Pooling
☐ Convolutional Networks
☐ Residual Networks
Part V: Sequences
Introduction
☐ Sequence Processing
☐ Text Processing With Embedding
☐ Learning From Text Using RNN
☐ Long-Short Term Memory RNN
☐ Learning From Text Using LSTM
☒ Deep RNN
☒ Encoder Decoder Networks
☒ Sequence Generation
Part VI: ☒ Advanced topics
Introduction
Author
Ken Pu
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Title
Author
☐ Regression
Ken Pu
☐ Logistic Regression
Ken Pu
☐ Multi-layer Perceptron
Ken Pu
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