COURSE DESCRIPTION

Five Core Concepts: Multilayer Networks, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks, and Embedding & Generative Models.

Eight Core Skills: scoping a problem, choosing datasets, creating datasets, choosing models, modifying models, creating models, modifying learning rates, and training & testing.          

• Intro to Artificial Intelligence, Machine Learning and Deep Learning.

• Image Classification

• Neural Networks,

• Face Mesh Model

• Post Net Model

• Natural Language Processing, Spectrogram, Fake Voice

• Recurrent Neural Networks, Personal Audio Classifier

• Decision Tree, K-Nearest Neighbors Classification, Linear Regression, K-means Classification and K-nearest Clustering