Загрузка страницы
Все видеоНовые видеоПопулярные видеоКатегории видео

Deep Unsupervised Learning

Earlier videos:
https://www.youtube.com/playlist?list=PLWKotBjTDoLj3rXBL-nEIPRN9V3a9Cx07

Highlights:

Unsupervised Learning
Dimensionality Reduction
Curse of Dimensionality
Autoencoders
Denoising autoencoders
Representation learning
Distributed representation
Word embeddings
Word2Vec
Analogical reasoning

References and further reading:

Deep Learning by Ian Goodfellow:
http://www.deeplearningbook.org/

Principal Component Analysis
https://en.wikipedia.org/wiki/Principal_component_analysis

t-Distributed Stochastic Neighbor Embedding (t-SNE)
https://lvdmaaten.github.io/tsne/

Vector Representations of Words
https://www.tensorflow.org/versions/r1.1/tutorials/word2vec

Distributed Representations of Words and Phrases and their Compositionality
http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf

#deeplearning #machinelearning

Видео Deep Unsupervised Learning канала Leo Isikdogan
Показать
Комментарии отсутствуют
Введите заголовок:

Введите адрес ссылки:

Введите адрес видео с YouTube:

Зарегистрируйтесь или войдите с
Информация о видео
6 апреля 2018 г. 4:07:16
00:10:10
Leo Isikdogan
Теги
Правообладателям
Жалоба
Комментарии
Другие видео канала
Unsupervised Learning with Autoencoders | Christoph HenkelmannUnsupervised Learning with Autoencoders | Christoph HenkelmannGenerative Adversarial NetworksGenerative Adversarial NetworksUnsupervised Learning explainedUnsupervised Learning explainedHow Convolutional Neural Networks workHow Convolutional Neural Networks work180 - LSTM Autoencoder for anomaly detection180 - LSTM Autoencoder for anomaly detectionHow to Predict Stock Market Crashes using Mathematical ModelsHow to Predict Stock Market Crashes using Mathematical ModelsNeural networks [7.3] : Deep learning - unsupervised pre-trainingNeural networks [7.3] : Deep learning - unsupervised pre-trainingGarry Kasparov: Chess, Deep Blue, AI, and Putin | Lex Fridman Podcast #46Garry Kasparov: Chess, Deep Blue, AI, and Putin | Lex Fridman Podcast #46[IPAM2019] Thomas Kipf "Unsupervised Learning with Graph Neural Networks"[IPAM2019] Thomas Kipf "Unsupervised Learning with Graph Neural Networks"Machine Learning - Supervised VS Unsupervised LearningMachine Learning - Supervised VS Unsupervised LearningCan AI Create Original Art?Can AI Create Original Art?Lecture 1.3 — Unsupervised Learning — [ Machine Learning | Andrew Ng]Lecture 1.3 — Unsupervised Learning — [ Machine Learning | Andrew Ng]MIT 6.S191: Reinforcement LearningMIT 6.S191: Reinforcement LearningAutoencoders in Python with Tensorflow/KerasAutoencoders in Python with Tensorflow/KerasGenerative Adversarial Networks (GANs) - ComputerphileGenerative Adversarial Networks (GANs) - ComputerphileOptical Illusions ExplainedOptical Illusions ExplainedUnsupervised Learning | Unsupervised Learning Algorithms | Machine Learning Tutorial | SimplilearnUnsupervised Learning | Unsupervised Learning Algorithms | Machine Learning Tutorial | SimplilearnTensorFlow Probability: Learning with confidence (TF Dev Summit '19)TensorFlow Probability: Learning with confidence (TF Dev Summit '19)Deep Clustering: A Deep Learning Approach for High-Dimensional Data ClusteringDeep Clustering: A Deep Learning Approach for High-Dimensional Data Clustering
Статистика портала
Яндекс.Метрика
© 2008-2024 «Информационно-развлекательный портал города Верхняя Салда»
| Карта портала | Реклама | Контакты | Сообщить об ошибке | Соглашения
salda.ws salda.ws@mail.ru
Сейчас на сайте: 512 Статистика портала