Deep Learning 2018 (Audio) podcast

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Deep Learning 2018 (Audio)

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Deep Learning (DL) has attracted much interest in a wide range of applications such as image recognition, speech recognition and artificial intelligence, both from academia and industry. This lecture introduces the core elements of neural networks and deep learning, it comprises: (multilayer) perceptron, backpropagation, fully connected neural networks loss functions and optimization strategies convolutional neural networks (CNNs) activation functions regularization strategies common practices for training and evaluating neural networks visualization of networks and results common architectures, such as LeNet, Alexnet, VGG, GoogleNet recurrent neural networks (RNN, TBPTT, LSTM, GRU) deep reinforcement learning unsupervised learning (autoencoder, RBM, DBM, VAE) generative adversarial networks (GANs) weakly supervised learning applications of deep learning (segmentation, object detection, speech recognition, ...)

13 episoade

Deep Learning 2018 (Audio)

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updated 6+ y ago

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Pagina seriei•Feed

Serii arhivate ("Sursă inactivă" status)

When? This feed was archived on November 18, 2020 15:09 (4y ago). Last successful fetch was on July 08, 2020 17:08 (4+ y ago)

Why? Sursă inactivă status. Servele noastre nu au putut să preia o sursă valida de podcast pentru o perioadă îndelungată.

13 episoade

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