AI Applications

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
Midterm exam
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
Final exam