HackerTube.dev

Tensorflow and deep learning - without a PhD by Martin Görner

Devoxx · 610K views · 2016-11-09 · 2:35:53

Open on YouTube ↗

If playback is restricted in your region, try opening the original video. Use Mark watched to add it to your marked videos.

Overview

Martin Gorner's Devoxx talk introduces deep learning with TensorFlow, walking through neural networks for MNIST, how to choose an architecture and how to diagnose networks that fail to train.

On Hacker News

Repeatedly called an excellent, practical introduction that covers a lot in two hours and explains issues academic textbooks skip.

Recommended by 6 HN people across 5 months · HN mentions 2017–2020

Topics

Search by tags

What people said

halflings · 2020-07 · Strong recommendation

The video version [1] is also pretty awesome, though its code itself is a bit outdated now. Explains a lot of very practical issues that you might not find in most academic textbooks, but you encounter every day in practice. [1] [VIDEO]

Read the original HN comment ↗
eddieplan9 · 2018-03 · Strong recommendation

For those interested in a deeper dive to just deep learning, "Tensorflow and deep learning - without a PhD" is really good, and covers a lot of material in a single 2hr talk. [VIDEO]

Read the original HN comment ↗
speedplane · 2017-06 · Strong recommendation

I watched a great video on Tensorflow (link below). It mostly introduces very basic deep learning concepts, but there are a few key moments in the 2 hour+ video, where he explains what to do if something goes wrong. It's definitely not a "science", but with enough experience in deep learning, you can intuit what's going on inside the black box, and there are best practices on what to try next. For example, he goes through a few examples where a neural net has too many weights, or too little data or improperly connected nodes. All three result in problems, but the problems exhibit themselves in slightly different ways and with expertise you can start identifying them. [VIDEO]

Read the original HN comment ↗

Sources

Video by Devoxx, played through YouTube.

Data and selection notes

HN summaries and labels may contain AI errors. HN dates refer to discussions, not video publication.

HN Library: HackerTube export (2026-10-31) and open-index/hacker-news. Upstream summaries and classifications may contain AI errors.

Views, duration and playback status refresh separately from the published catalog. When an update fails, existing data remains visible.

Selection checks
  • SaaS & AI candidates: Topic keywords do not match
  • Editor-approved picks: Editorial review is required

Rule matches identify candidates. They do not guarantee video quality or financial results.

About the library and its sources