Practices
We will use Python with jupyter notebooks in the practice sessions. You can find a nice tutorial here:
http://cs231n.github.io/python-numpy-tutorial/
Setup the environment
The home works will use jupyter notebooks and to be able to open and interact with them locally you need to follow these steps:
- First install conda
- Create the environment:
- Open conda terminal (only for windows users)
- conda create -n Py3_ICNS python=3 matplotlib jupyter numpy pandas
- Activate the environment
- Windows: activate Py3_ICNS
- Linux: source activate Py3_ICNS
 
- Windows: 
- Go to homework directory in terminal
- Execute jupyter notebook
 
Github repo:
You can find practical session exercises from last year and new tasks from this year in the following Github repository.
Dates and times
A new practice will be added every week
- 04.09: Lecture, not practice session
- 11.09:      01. Brain structure 01. Brain structure- TED: Sebastian Seung "I am my connectome"
- http://neuromorpho.org
- Deadline: 19.09.2018- 23:59:59.
 
- 18.09:    02. Data Analysis. 02. Data Analysis.- Deadline: 26.09.2018 23:59:59.
 
- 25.09:    03. Data Analysis II: Machine Learning. 03. Data Analysis II: Machine Learning.- Deadline: 03.10.2018 23:59:59.
 
- 02.10:    04. Single Neuron Models 04. Single Neuron Models- Deadline: 10.10.2018 23:59:59.
 
- 09.10: Answering questions (no new home work)
- 16.10:    05. Neuron Network Models 05. Neuron Network Models- Deadline: 24.10.2018 23:59:59.
 
- 23.10:    06. Artificial Neural Networks 06. Artificial Neural Networks- Deadline: 31.10.2018 23:59:59.
 
Submission
The deadline is strict. You will not receive any points if you submit after the deadline.
 
  		  		2. Home work 2 - Data analysis
		
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	  		6. Homework 6- Artificial neural networks
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	  		7. Project - Check point 1
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	  		8. Project - Check point 2
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	  		9. Project - Check point 3
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	  		10. Project - Final Submission
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