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Tensorflow and deep learning - without a PhD by Martin Görner

Devoxx · tutorial · Watch on YouTube

Machine learning & deep learningComputer vision, speech & NLP

What it is

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.

Why Hacker News recommends it

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

  • 6 people recommended it
  • 5 different months
  • 4 strong recommendations
  • first 2017, last 2020

What HN commenters said

  1. “there's an excellent video from Martin Gorner at Google that describes a range of neural networks for MNIST[2]”

    Excellent walkthrough of neural networks for MNIST with great source code.

    paulsutter, 2017-01 · Strong recommendation · in “Stanford Unsupervised Deep Learning Tutorial (2014)”

  2. “I watched a great video on Tensorflow (link below).”

    Intro to deep learning plus practical tips for diagnosing failing networks.

    speedplane, 2017-06 · Strong recommendation · in “Ask HN: What are the best resources to learn computer vision?”

  3. “Tensorflow and deep learning - without a PhD" is really good, and covers a lot of material in a single 2hr talk.”

    Covers a lot of deep learning material in a single 2hr talk.

    eddieplan9, 2018-03 · Strong recommendation · in “Machine Learning Crash Course”

  4. “Explains a lot of very practical issues that you might not find in most academic textbooks”

    Explains practical issues rarely found in academic textbooks.

    halflings, 2020-07 · Strong recommendation · in “TensorFlow, Keras and deep learning, without a PhD”

  5. “If you haven't seen it check this out for an intro”

    Accessible intro to deep learning with TensorFlow.

    andy_ppp, 2017-02 · Recommendation · in “TensorFlow 1.0 Released”

  6. “This is a good introduction focused on tensorflow.”

    Good TensorFlow-focused introduction to deep neural networks.

    gregatragenet3, 2017-02 · Recommendation · in “TensorFlow 1.0 Released”

Excerpts from Hacker News comments, linked to the originals. Summaries and labels were written by a language model from those comments.

Topics: tensorflow, neural networks, mnist, deep learning, convolutional networks

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