Deep Learning
✓

Deep Learning

このポッドキャストについて 🔗

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, ...)

The accompanying exercises will provide a deeper understanding of the workings and architecture of neural networks.

教育
更新頻度:
every 14 hours
平均音声長:
14 minutes
動画ポッドキャスト
英語
アメリカ合衆国
52 エピソード
2020年4月13日から
serial
APIを使用して、JSONでこのポッドキャストを取得します

このポッドキャストの内容 🔗

これらのタグを編集

一番古いエピソード 🔗

Deep Learning - Introduction Part 2

Deep Learning - Introduction Part 2

Deep Learning - Introduction Part 2   This video introduces the topic of Deep Learning by showing several well-known examples from FAU.   Video References: Lex Fridman's Channel Car Scene  Mitotic Dataset    Further Reading A gentle Introduction to Deep Learning 
00:18:41
シェア
保存

過去のエピソードを検索

Deep Learningの以前のエピソードを検索します。
この検索バーをあなたのウェブサイトに埋め込む

以前のエピソード

2 - Deep Learning - Introduction Part 2

2 - Deep Learning - Introduction Part 2

00:18:41
シェア
保存
2 - Deep Learning - Introduction Part 2 2020

2 - Deep Learning - Introduction Part 2 2020

Deep Learning - Introduction Part 2   This video introduces the topic of Deep Learning by showing several well-known examples from FAU.   Video References: Lex Fridman's Channel Car Scene  Mitotic Dataset    Further Reading A gentle Introduction to Deep Learni…
00:18:41
シェア
保存
Deep Learning - Introduction Part 3

Deep Learning - Introduction Part 3

  Deep Learning - Introduction Part 3   This video introduces the topic of Deep Learning and discusses challenges and future directions.   Video References: Lex Fridman's Channel   Further Reading A gentle Introduction to Deep Learning   
00:08:48
シェア
保存
3 - Deep Learning - Introduction Part 3

3 - Deep Learning - Introduction Part 3

00:08:48
シェア
保存
3 - Deep Learning - Introduction Part 3 2020

3 - Deep Learning - Introduction Part 3 2020

  Deep Learning - Introduction Part 3   This video introduces the topic of Deep Learning and discusses challenges and future directions.   Video References: Lex Fridman's Channel   Further Reading A gentle Introduction to Deep Learning   
00:08:48
シェア
保存
Deep Learning - Introduction Part 4

Deep Learning - Introduction Part 4

  Deep Learning - Introduction Part 4   This video introduces the topic of Deep Learning by defining the course's notation, introducing fundamental principles of Pattern Recognition, and a short review of the perceptron.   Video References: Lex Fridman's Channel   Further Reading A gentl…
00:14:48
シェア
保存
4 - Deep Learning - Introduction Part 4

4 - Deep Learning - Introduction Part 4

00:14:48
シェア
保存
4 - Deep Learning - Introduction Part 4 2020

4 - Deep Learning - Introduction Part 4 2020

  Deep Learning - Introduction Part 4   This video introduces the topic of Deep Learning by defining the course's notation, introducing fundamental principles of Pattern Recognition, and a short review of the perceptron.   Video References: Lex Fridman's Channel &nbs…
00:14:48
シェア
保存
Deep Learning - Introduction Part 5

Deep Learning - Introduction Part 5

  Deep Learning - Introduction Part 5   This video introduces the topic of Deep Learning and presents the course's requirements, grading procedures, and summarises the first unit.   Video References: Lex Fridman's Channel   References [1] David Silver, Julian Schrittwieser, Karen Simonya…
00:06:29
シェア
保存
免責: このページに埋め込まれているポッドキャストとアートワークは Prof. Dr.-Ing. Andreas Maier からのものであり、その所有者の所有物であり、Listen Notes, Inc. と提携または承認されていません。
ポッドキャスト検索エンジン
当社の Web サイトを使用して、人、場所、トピックごとに 3,822,814 ポッドキャストや 195,613,756 エピソードを検索できます。
If I have seen further than others, it is by listening to podcasts and standing upon the shoulders of giants.  ‐ Isaac "Llamacorn" Newton

おすすめ

APIを利用してこのポッドキャストを取得する