Learn the basics of deep-learning!

Deep-learning has been used in many recent applications. You’ve likely seen use cases such as Stable diffusion, DALL-E image generation, ChatGPT text generation, image classification and, object detection in self-driving cars. Deep-learning is also gaining popularity in the humanities beyond NLP uses.

• Week 1 (Tensors)
• Week 2 (Single Linear Neuron Models and Training Loop)
• Week 3 (Multi-Layer Models and Activation Functions)
• Week 4 (Images as Data: CNN and Data Loaders)
• Week 5 (Evaluation Metrics and Model Performance):
• Week 6 (Transfer Learning and Practical Applications)

Join our 6-part workshop series and go from zero to building a basic image classification model. With this knowledge, you can continue to teach yourself further in expanding beyond the focus of images onto other forms of data such a text (NLP tasks).

Fill in the form to sign up for this bi-weekly course starting from the 6th of February 13:00-15:00