Applied deep learning, computer vision pipelines, and NLP workshops with live code implementation.
- Topics: PyTorch tensor operations,
autograd, building a customnn.Module, writing training loops, and training an MLP / CNN. - Duration: 3 Hours
- Prerequisites: Python OOP, NumPy, calculus basics.
- Interactive Lab:
01_pytorch_deep_learning_starter.ipynb
- Topics: Image filtering, contour detection, webcam video streaming, and running inference with Ultralytics YOLO.
- Duration: 3 Hours
- Prerequisites: Python, basic deep learning intuition.
- Interactive Lab:
02_opencv_computer_vision_starter.ipynb
- Topics: Word embeddings, tokenization algorithms, fine-tuning pre-trained transformer models for text classification.
- Duration: 3 Hours
- Prerequisites: PyTorch fundamentals.
Click the Open in Colab badge above to run with free GPU acceleration.
git clone https://github.com/AIMLCLUBOCT/Workshops.git
cd Workshops/intermediate
pip install torch torchvision numpy matplotlib jupyterlab
jupyter lab notebooks/