Certificate in Deep Learning for Chemical Applications
-- ViewingNowThe Certificate in Deep Learning for Chemical Applications is a comprehensive course designed to equip learners with essential skills in deep learning techniques and their applications in the chemical industry. This course emphasizes the importance of harnessing artificial intelligence to drive innovation, solve complex problems, and improve efficiency in chemical processes.
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⢠Introduction to Deep Learning & Chemical Applications
⢠Neural Networks and Deep Learning Architectures
⢠Mathematics for Deep Learning: Linear Algebra, Calculus, and Probability
⢠Python Programming for Deep Learning: NumPy, Pandas, and TensorFlow
⢠Convolutional Neural Networks (CNNs) in Chemistry
⢠Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) in Chemical Applications
⢠Deep Learning for Quantitative Structure-Activity Relationships (QSAR)
⢠Molecular Graph Convolutions and Graph Neural Networks (GNNs) in Chemistry
⢠Transfer Learning and Domain Adaptation in Deep Learning for Chemical Applications
⢠Ethics and Best Practices in Deep Learning for Chemical Research
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