Applied Deep Learning 2021 - Lecture 4 - Recurrent Neural Networks

Applied Deep Learning 2024 - Lecture 11 - Graph Neural NetworksПодробнее

Applied Deep Learning 2023 - Lecture 8 - TransformersПодробнее

Applied Deep Learning 2023 - Lecture 11 - Graph Neural NetworksПодробнее

Applied Deep Learning 2022 - Lecture 8 - TransformersПодробнее

Neural Factorization Machines | Lecture 82 (Part 1) | Applied Deep Learning (Supplementary)Подробнее

Applied Deep Learning 2022 - Lecture 3 - Convolutional Neural Networks and Visual ComputingПодробнее

Applied Deep Learning 2022 - Lecture 4 - Recurrent Neural NetworksПодробнее

Applied Deep Learning 2022 - Lecture 12 - Explainable AIПодробнее

Applied Deep Learning 2024 - Lecture 8 - TransformersПодробнее

Applied Deep Learning 2022 - Lecture 11 - Graph Neural NetworksПодробнее

Continuous Normalizing Flows | Lecture 9 (Part 2) | Applied Deep Learning (Supplementary)Подробнее

Applied Deep Learning 2021 - Lecture 11 - Explainable AIПодробнее

Neural Architecture Search | Lecture 14 (Part 1) | Applied Deep Learning (Supplementary)Подробнее

Recurrent Neural Networks Tutorial | RNN LSTM | Tensorflow Tutorial | Edureka | DL Rewind - 3Подробнее

Transformer-XL (Q&A) | Lecture 54 (Part 3) | Applied Deep Learning (Supplementary)Подробнее

Applied Deep Learning 2021 - Lecture 10 - Serving, Optimizing, and Practical AspectsПодробнее

Tabular Data | Lecture 1 | Applied Deep Learning (Supplementary)Подробнее

DeepLabv3+ (Q&A) | Lecture 28 (Part 3) | Applied Deep Learning (Supplementary)Подробнее

MIT 6.S191 (2022): Recurrent Neural Networks and TransformersПодробнее

Applied Deep Learning 2021 - Lecture 12 - Graph Neural NetworksПодробнее