jeffheaton/t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
This course material provides a hands-on introduction to deep learning using Python, TensorFlow, and Keras. It helps practitioners learn how to build neural networks to process various data types like tabular data, images, text, and audio. The primary users are students or professionals who want to apply deep learning techniques to real-world problems.
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Use this if you are a student or professional eager to learn how to implement deep neural networks for tasks in computer vision, time series analysis, natural language processing, or data generation using Python and Keras/TensorFlow.
Not ideal if you are a current Washington University student in this course, as the university now uses a PyTorch version, or if you prefer a purely theoretical or mathematical deep learning curriculum.
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