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Irene Chen - A Beginner's Guide to Deep Learning

Irene Chen - A Beginner's Guide to Deep Learning

What is deep learning? It has recently exploded in popularity as a complex and incredibly powerful tool. This talk will present the basic concepts underlying deep learning in understandable pieces for complete beginners to machine learning. We will review the math, code up a simple neural network, and provide contextual background on how deep learning is used in production now.

https://us.pycon.org/2016/schedule/presentation/2112/

PyCon 2016

May 29, 2016
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  1. DeepMind’s AlphaGo beating professional Go player Lee Sedol Nvidia and

    its latest GPU architecture Toyota’s $1 billion AI investment Facebook is building AI that builds AI
  2. Input Nodes ? ? ? ? ? ? ? ?

    ? ? ? ? ? ? ? Output Nodes
  3. Input Nodes 1 1 1 1 1 1 1 1

    1 1 1 1 1 1 1 Output Nodes
  4. Today • Lesson 1: Why now? Big data, big processing power,

    robust neural networks • Lesson 2: Neural networks can be trained on labeled data to classify avocados • Lesson 3: Caffe provides pre-trained networks to jumpstart learning
  5. Today • Lesson 1: Why now? Big data, big processing power,

    robust neural networks • Lesson 2: Neural networks can be trained on labeled data to classify avocados • Lesson 3: Caffe provides pre-trained networks to jumpstart learning
  6. Today • Lesson 1: Why now? Big data, big processing power,

    robust neural networks • Lesson 2: Neural networks can be trained on labeled data to classify avocados • Lesson 3: Caffe provides pre-trained networks to jumpstart learning
  7. Today • Lesson 1: Why now? Big data, big processing power,

    robust neural networks • Lesson 2: Neural networks can be trained on labeled data to classify avocados • Lesson 3: Caffe provides pre-trained networks to jumpstart learning