Materials and chemical engineering applications of machine learning with topics in: Bias, neural networks, deep learning and learning theory. Classification, supervised learning, unsupervised learning, generative networks, reinforcement learning.
Materials and chemical engineering applications of machine learning with topics in: Bias, neural networks, deep learning and learning theory. Classification, supervised learning, unsupervised learning, generative networks, reinforcement learning.
