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| # We will review our homework: | | # We will review our homework: |
| ## Outline the [[Structure of a neural networks]]: | | ## Outline the [[Structure of neural networks]]: |
| ### input layer, minimum two hidden layers and an output layer | | ### input layer, minimum two hidden layers and an output layer |
| ### When enough neurons in a combination of neurons in one layer get 'activated,' they cause a neuron in the next layer to 'activate.'<ref>Franek, one of our 2019 students</ref> | | ### When enough neurons in a combination of neurons in one layer get 'activated,' they cause a neuron in the next layer to 'activate.'<ref>Franek, one of our 2019 students</ref> |
Revision as of 11:13, 6 February 2019
What are we going to learn today?[edit]
Hello World!
- We will review our homework:
- Outline the Structure of neural networks:
- input layer, minimum two hidden layers and an output layer
- When enough neurons in a combination of neurons in one layer get 'activated,' they cause a neuron in the next layer to 'activate.'[1]
- We will briefly review Data representation
- We will start learning about the Structure of neural networks.
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What is our home learning?[edit]
- Please see google classroom
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How am I being assessed today?[edit]
I will assess you formatively today, and make a professional judgement to what extent you understand our learning material. I will use observation, your written work, answers to questions, and contribution to class discussions as data to make my decisions.
I will also ask you to complete a self-assessment which I will use to help me gauge how well you think you understand our material in class.
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As a computer scientist, you have:[edit]
- Confidence in dealing with complexity
- Persistence in working with difficult problems
- Tolerance for ambiguity
- The ability to deal with open-ended problems
- The ability to communicate and work with others to achieve a common goal or solution
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Credits[edit]
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- ↑ Franek, one of our 2019 students