AI Applications
Extract the ZIP and open index.html. Includes notes, practice files and supporting materials.
English translation
- Week 1
Purpose and preparation for AI exercises
Course procedures, materials, and execution checks
- Week 2
Run and save Notebooks
Run, edit, save cells, and reproduce results
- Week 3
Read arrays and explain them with plots
Meaning of rows and columns, selection operations, and axis labels
- Week 4
Collaborate with a change history
Commits, Branches, Merges, and collaboration records
- Week 5
Tensor Shapes and operations
Predict shapes, reshape, and Broadcast
- Week 6
Linear Regression and learning
Model outputs, Loss, and Parameter updates
- Week 7
Binary classification and probability
Distinguish Logits, probabilities, and Class decisions
- Week 8
Multiclass Classification and Logits
Logits, target Indices, and per-Class results
- Week 9
Layer operations in a CNN
Shapes through Convolution and Pooling
- Week 10
Training and evaluation in image classification
Data splits, evaluation mode, and misclassifications
- Week 11
- Week 12
Character Sequences and RNNs
Input, next-character Targets, and Hidden State
- Week 13
LSTM, GRU, and long Sequences
Segmenting sequences and carrying State forward
- Week 14
Text Classification and Sentiment Analysis
Connecting preprocessing, model inputs, and evaluation results
- Week 15