Vinesh Bhunjun's journal club session, where will he present the effects of his cooperation with our laboratory.
In this talk, I will explore a summary of the work I have done over the past 4 weeks on Variational AutoEncoders (VAE) as applied to fragrant molecule data. VAEs provide a compact latent representation of the input from which it is possible to reconstruct the input.
Date: 27/09/2019
Time: 16:00
Location: D449
neural networks Associative memory Studentship cerebellum Artificial intelligence olfaction Dendritic computation Purkinje cell Neuronal Morphology Evolutionary algorithms Neuromorphic hardware Persistent homology Open position COVID-19 Network connectivity robotics Deep learning Convolutional Neural Networks Neurons computational neuroscience neuroscience computational modelling Homoeostasis Software development machine learning PCA Computer Science optimization Structural plasticity synaptic plasticity