Learn Deep Learning in Life Sciences with Prof. Manolis Kellis from MIT! In this spring 2021 course, you will learn about AI, ML, machine learning foundations, Convolutional Neural Networks CNNs, Recurrent Neural Networks RNNs, Graph Neural Networks GNNs, Long Short Term Memory LSTMs, interpretable deep learning, generative models, Adversarial Networks GANs, Variational Autoencoders VAEs, representation learning, deep learning for regulatory genomics, gene expression prediction, single cell genomics, dimensionality reduction, disease circuitry dissection GWAS, GWAS mechanism, systems genetics, AI for drug design, deep learning for protein folding, machine learning for pathology, deep learning for Cell Imaging Segmentation, deep learning image registration and analysis, electronic health records, and deep learning and neurosciences.