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feat: new nvidia and pytorch devcon post
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ritchie committed Oct 5, 2018
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2 changes: 1 addition & 1 deletion _posts/2018-04-09-nvidia-dli-workshop.md
Expand Up @@ -15,7 +15,7 @@ In this half-day Image Classification with DIGITS workshop, you will learn to

Feel free to sign up [here](https://www.eventbrite.sg/e/teaching-you-to-solve-problems-with-deep-learning-by-nvidia-tickets-45464548689).

![NVIDIA Poster](https://scontent-sit4-1.xx.fbcdn.net/v/t1.0-9/31301576_1895254373882033_4742497653213755937_n.jpg?_nc_cat=0&oh=470d5402c4531357ebacd8fbf0bc96d6&oe=5B507B74)
![NVIDIA Poster](https://res.cloudinary.com/ritchieng/image/upload/v1538729603/ritchieng.com/nus_nvidia/nus_nvidia_dli_2018_1.jpg)

Cheers,
<br />Ritchie
7 changes: 1 addition & 6 deletions _posts/2018-04-13-nvidia-dli-workshop-postmort.md
Expand Up @@ -13,12 +13,7 @@ In this half-day Image Classification with DIGITS workshop, participants learnt
- walk through the process of data preparation, model definition, model training and troubleshooting
- use validation data to test and try different strategies for improving model performance using GPUs.

It was a full house! Here are some recap pictures taken by helpful NVIDIA student helpers.

![](https://scontent.fsin1-1.fna.fbcdn.net/v/t1.0-9/32231597_162974757706334_5166329560932810752_n.jpg?_nc_cat=0&oh=ea89df34f632aa41ec9ad897bbbdae97&oe=5B527F1E)
![](https://scontent.fsin1-1.fna.fbcdn.net/v/t1.0-9/32247367_162974781039665_6963445797153144832_n.jpg?_nc_cat=0&oh=b8acb791a77a5ac96b62432351f22082&oe=5B53A182)
![](https://scontent.fsin1-1.fna.fbcdn.net/v/t1.0-9/32423168_162974784372998_2065337970352717824_n.jpg?_nc_cat=0&oh=10a6bb63f6fb277ed6c0a170fd9fb8f6&oe=5B8A156E)
![](https://scontent.fsin1-1.fna.fbcdn.net/v/t1.0-9/32314142_162974774372999_3268960829449437184_n.jpg?_nc_cat=0&oh=06b88ab3640784e328a295b5eefe0f05&oe=5B840736)
It was a full house!

Cheers,
<br />Ritchie
2 changes: 1 addition & 1 deletion _posts/2018-05-29-nvidia-dli-workshop2.md
Expand Up @@ -15,7 +15,7 @@ Many problems have established deep learning solutions, but sometimes the proble

Feel free to sign up [here](https://www.facebook.com/nus.nvidia/posts/166945523975924).

![NVIDIA Poster](https://scontent-sit4-1.xx.fbcdn.net/v/t1.0-9/33900380_166945510642592_8807125676499927040_n.jpg?_nc_cat=0&oh=3a182ce62000fff8616d20291b0fceda&oe=5B7BD57D)
![NVIDIA Poster](https://res.cloudinary.com/ritchieng/image/upload/v1538729603/ritchieng.com/nus_nvidia/nus_nvidia_dli_2018_2.jpg)

Cheers,
<br />Ritchie
20 changes: 20 additions & 0 deletions _posts/2018-10-02-pytorch-devcon.md
@@ -0,0 +1,20 @@
---
title: "Recap of 2018 PyTorch Developer Conference"
published: true
permalink: /pytorch/pytorch-devcon-2018
summary: "Invited by PyTorch to PyTorch's first Devcon!"
tags: [news, machine_learning]
---

Proud of how far PyTorch has come. Thanks Soumith Chintala, it is a great journey and it just started. And thanks to Adam Paszke too!

Finally got to catch up with Soumith Chintala, Alfredo Canziani and Marek Bardoński and found Andrej Karpathy! Back to Singapore tonight 🤗

Here are some photos of my trip!

![Soumith Chintala](https://res.cloudinary.com/ritchieng/image/upload/v1538729876/ritchieng.com/pytorch_devcon_2018/IMG_2078_02-10-2018-21-00-43.jpg)
![Alfredo Canziani](https://res.cloudinary.com/ritchieng/image/upload/v1538729876/ritchieng.com/pytorch_devcon_2018/IMG_2081_02-10-2018-21-00-01.jpg)
![Andrej Karpathy](https://res.cloudinary.com/ritchieng/image/upload/v1538729876/ritchieng.com/pytorch_devcon_2018/IMG_2075_02-10-2018-21-02-31.jpg)

Cheers,
<br />Ritchie
3 changes: 2 additions & 1 deletion index.md
Expand Up @@ -27,7 +27,8 @@ These are some of the courses I created that will gradually build up your deep l

## Upcoming Talks/Workshops
PyTorch Developer Conference, Facebook, San Francisco, USA, October 2018
<br />Deep Learning for Financial Time Series, NVIDIA, Singapore, October 2018 (more details coming soon)
<br />Explainable Deep Learning, Nanjing, China, November 2018
<br />Deep Learning for Financial Time Series, NVIDIA, Singapore, December 2018 (more details coming soon)

## Key Papers
[Neural Optimizers with Hypergradients for Tuning Parameter-Wise Learning Rates, ICML 2017](https://sites.google.com/site/automl2017icml/accepted-papers/AutoML_2017_paper_7.pdf)
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