TensorFlow Dev Summit 2019(Tensorflow 发展峰会)

1593
2
2019-03-09 12:46:31
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21
5
https://www.youtube.com/watch?v=bDZ2q6OktQI&t=35s
https://academy.unrealengine.com
视频选集
(13/31)
1-TensorFlow Dev Summit 2019 Keynote_
31:43
2-Powered by TensorFlow - Airbnb uses machine learning to help categorize its l
02:38
3-Introducing TensorFlow 2.0 and its high-level APIs_
22:22
4-tf.function and Autograph (TF Dev Summit ‘19)_
14:38
5-TensorFlow Lite (TF Dev Summit ‘19)_
44:45
6-Top_5_takeaways_from_TensorFlow_Dev_Summit_2019_
04:07
7-Swift for TensorFlow - The Next-Generation Machine Learning Framework _
31:22
8-TensorFlow Datasets _
09:34
9-What' new in TensorBoard_
07:43
10-Powered by TensorFlow - utilizing deep learning to better predict extreme we
02:43
11-TensorFlow Open Source Community And Collaboration _
13:24
12-In Codice Ratio - Machine Transcription in the Vatican Secret Archive _
11:23
13-TensorFlow.js 1.0 _
17:51
14-TensorFlow Hub - Reusable Machine Learning _
07:36
15-Reinforcement Learning in TensorFlow with TF-Agents _
15:59
16-TensorFlow Probability - Learning with confidence _
13:57
17-TensorFlow Extended (TFX) Post-training Workflow _
15:08
18-TensorFlow Extended (TFX) Pre-training Workflow _
31:35
19-Democratizing Ultrasound via ML _
05:16
20-Powered by TensorFlow - helping paleographers transcribe medieval text using
03:00
21-TensorFlow.jl - A Julian Front End to the TensorFlow World _
05:28
22-Netease Youdao - AI Leader in Online Education in China _
09:31
23-Building a Visual Debugging Tool for ML - TF.js in Interactive Visual Analyti
05:19
24-TF Lattice - Control Your ML with Monotonicity _
05:07
25-Improving Text In Tensorflow (TF Dev Summit ‘19)_
05:13
26-AI Experiments - Making AI Accessible through Play (TF Dev Summit ‘19)_
05:53
27-Exascale Deep Learning for Climate Analytics (TF Dev Summit ‘19)_
14:54
28-Mesh-TensorFlow - Model Parallelism for Supercomputers (TF Dev Summit ‘19)_
15:14
29-Sonnet 2.0 (TF Dev Summit ‘19)_
14:27
30-TensorFlow Federated (TFF) - Machine Learning on Decentralized Data (TF Dev
13:26
31-Upgrade your existing code for TensorFlow 2.0 (Coding TensorFlow)_
03:17
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