HackerTube
HomeLongsLikedHistoryWatch laterCategoriesPlaylistsSettings

Tensorflow and deep learning - without a PhD by Martin Görner

Devoxx6 HN recommenders · recommended in 5 months, 2017-2020
YouTube
610K views · 10 years ago · tutorial · dated

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.

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

Machine learning & deep learningComputer vision, speech & NLP#tensorflow#neuralnetworks#mnist#deeplearning#convolutionalnetworks

6 comments from Hacker News

@halflings2020 · in “TensorFlow, Keras and deep learning, without a PhD”

The video version [1] is also pretty awesome, though its code itself is a bit outdated now.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] ▶ this video

Strongly recommendsView on HN
@eddieplan92018 · in “Machine Learning Crash Course”

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. ▶ this video

Strongly recommendsView on HN
@speedplane2017 · in “Ask HN: What are the best resources to learn computer vision?”

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. ▶ this video

Strongly recommendsView on HN
@gregatragenet32017 · in “TensorFlow 1.0 Released”

This is a good introduction focused on tensorflow. ▶ this video (Tensorflow and deep learning - without a PhD by Martin Görner) The ML/DNN rabbit-hole goes deep. If the video above leaves you wanting more, link does a good job on drilling into more specifics for the various techniques used. The examples on the tensorflow webpage are also very good.

RecommendsView on HN
@andy_ppp2017 · in “TensorFlow 1.0 Released”

Amazing work; it makes using AI and Deep Learning accessible for everyone here really. If you haven't seen it check this out for an intro: ▶ this video I wish AMD graphics cards were supported fully. I really think AMD should find a way to work with the Tensor Flow team on this...

RecommendsView on HN
@paulsutter2017 · in “Stanford Unsupervised Deep Learning Tutorial (2014)”

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 his talk is excellent[3]. [1] link [2] ▶ this video [3] link

Strongly recommendsView on HN
Neural Networks Demystified [Part 1: Data and Architecture]3:07

Neural Networks Demystified [Part 1: Data and Architecture]

Welch Labs
838K views • 12 years ago
The spelled-out intro to neural networks and backpropagation: building micrograd2:25:52

The spelled-out intro to neural networks and backpropagation: building micrograd

Andrej Karpathy
4.4M views • 4 years ago
Swift for TensorFlow: The Next-Generation Machine Learning Framework (TF Dev Summit '19)31:22

Swift for TensorFlow: The Next-Generation Machine Learning Framework (TF Dev Summit '19)

TensorFlow
41K views • 7 years ago
But what is a neural network? | Deep learning chapter 118:40

But what is a neural network? | Deep learning chapter 1

3Blue1Brown
25.1M views • 9 years ago
Practical Deep Learning for Coders: Lesson 11:22:56

Practical Deep Learning for Coders: Lesson 1

Jeremy Howard
610K views • 4 years ago
Lecture 1 | Natural Language Processing with Deep Learning1:11:41

Lecture 1 | Natural Language Processing with Deep Learning

Stanford University School of Engineering
820K views • 9 years ago
Gradient descent, how neural networks learn | Deep Learning Chapter 220:33

Gradient descent, how neural networks learn | Deep Learning Chapter 2

3Blue1Brown
9.7M views • 9 years ago
Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition57:57

Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition

Stanford University School of Engineering
2.9M views • 9 years ago
CS231n Winter 2016: Lecture1: Introduction and Historical Context1:19:08

CS231n Winter 2016: Lecture1: Introduction and Historical Context

Andrej Karpathy
462K views • 10 years ago
Recent Developments in Deep Learning1:05:18

Recent Developments in Deep Learning

Google TechTalks
85K views • 16 years ago
Lecture 1 | Machine Learning (Stanford)1:08:40

Lecture 1 | Machine Learning (Stanford)

Stanford
2.7M views • 18 years ago
Brains, Sex, and Machine Learning1:00:19

Brains, Sex, and Machine Learning

Google TechTalks
152K views • 14 years ago
Backpropagation, intuitively | Deep Learning Chapter 312:47

Backpropagation, intuitively | Deep Learning Chapter 3

3Blue1Brown
6.4M views • 9 years ago
CS480/680 Lecture 19: Attention and Transformer Networks1:22:38

CS480/680 Lecture 19: Attention and Transformer Networks

Pascal Poupart
374K views • 7 years ago
Deep Visualization Toolbox3:54

Deep Visualization Toolbox

Jason Yosinski
270K views • 11 years ago
The spelled-out intro to language modeling: building makemore1:57:45

The spelled-out intro to language modeling: building makemore

Andrej Karpathy
1.3M views • 4 years ago
Robocalypse Now: Using Deep Learning to Combat Cheating in Counter-Strike: Global Offensive1:05:25

Robocalypse Now: Using Deep Learning to Combat Cheating in Counter-Strike: Global Offensive

GDC Festival of Gaming
35K views • 6 years ago
HC2023-K2: Hardware for Deep Learning1:05:28

HC2023-K2: Hardware for Deep Learning

hotchipsvideos
15K views • 3 years ago
Backpropagation calculus | Deep Learning Chapter 410:18

Backpropagation calculus | Deep Learning Chapter 4

3Blue1Brown
4M views • 9 years ago
A Style-Based Generator Architecture for Generative Adversarial Networks6:18

A Style-Based Generator Architecture for Generative Adversarial Networks

Tero Karras FI
1.3M views • 7 years ago