Applied Computer Vision
40 hoursIntermediate7 modules
2 of 7 modules with a published syllabus
0 of 7 modules recorded
Syllabus
Starts from images as data — pixels, channels, OpenCV — and climbs through CNNs (a module shared with Deep Learning), classification with augmentation and object detection with YOLO, ending in segmentation. PyTorch and data cleaning come in as groundwork shared with the trunk.
Modules of this programme
The same objects as the full curriculum. A module opened from any programme that contains it is the same module, with the same syllabus and the same status.
| Code | Module | Content | Hands-on | Status | Price |
|---|---|---|---|---|---|
| CV-101 | Images as data (pixels, channels, OpenCV) | Detailed syllabus not written yet | — | Syllabus published | |
| CORE-104 | Data: collection and cleaning | Pandas, CSV/JSON/APIs, missing data, EDA | Clean and explore a real, messy dataset | Syllabus published | R$ 120US$ 40MX$ 500estimated price0 of 1 module published |
| CORE-203 | PyTorch in practice | Tensors, autograd, training loops, GPU | Rewrite the CORE-202 network in PyTorch | Syllabus published | R$ 180US$ 60MX$ 750estimated price0 of 1 module published |
| DL-201 | CNNs (shared with Computer Vision) | Detailed syllabus not written yet | — | Syllabus published | |
| CV-201 | Classification and augmentation | Detailed syllabus not written yet | — | Syllabus published | |
| CV-202 | Object detection (YOLO) | Detailed syllabus not written yet | — | Syllabus published | |
| CV-301 | Segmentation | Detailed syllabus not written yet | — | Syllabus published |
- CV-101Syllabus published
Images as data (pixels, channels, OpenCV)
Detailed syllabus not written yet
- CORE-104Syllabus published
Data: collection and cleaning
- Content
- Pandas, CSV/JSON/APIs, missing data, EDA
- Hands-on
- Clean and explore a real, messy dataset
R$ 120US$ 40MX$ 500estimated price0 of 1 module published
- CORE-203Syllabus published
PyTorch in practice
- Content
- Tensors, autograd, training loops, GPU
- Hands-on
- Rewrite the CORE-202 network in PyTorch
R$ 180US$ 60MX$ 750estimated price0 of 1 module published
- DL-201Syllabus published
CNNs (shared with Computer Vision)
Detailed syllabus not written yet
- CV-201Syllabus published
Classification and augmentation
Detailed syllabus not written yet
- CV-202Syllabus published
Object detection (YOLO)
Detailed syllabus not written yet
- CV-301Syllabus published
Segmentation
Detailed syllabus not written yet
Not everything fits into 40 hours. State of the art, distributed training, interpretability, edge deployment and the five integrative projects exist only inside the complete tracks: Tracks