Learn about:
- Neural Networks
- Training Models
- Linear Regression
- Loss Functions
- Stochastic Gradient Descent
- The general space of AI and the Challenges of ML
As well as a tour of the popular ML framework TensorFlow as well as the neural network library Keras and how they're applied to solve Machine Learning problems.
American University of Beirut
Speaker
Julia is a PhD Candidate at AUB in Electrical and Computer Engineering with 4 years of experience in several machine learning fields ranging from clustering and linear regression to supervised and reinforcement learning.
Julia is a PhD Candidate at AUB in Electrical and Computer Engineering with 4 years of experience in several machine learning fields ranging from clustering and linear regression to supervised and reinforcement learning.
