Tensorflow and deep learning - without a PhD by Martin Görner

Why HN readers recommended it

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

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel

Devoxx

Topic

deep learning with tensorflow

Format

tutorial

Level

intro

HN recommenders in dataset

6

HN mentions in dataset

6

Recommendation years in dataset

2017–2020

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

• For Deep Learning, start with MNIST. The 1998 paper[1] describing LeNet goes into a lot more detail than more recent papers. Also there's an excellent video from Martin Gorner at Google that describes a range of neural networks for MNIST[2]. The source code used in …

• 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 …

• 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]