• Install required libraries pip install -r requirements.txt

• numpy_basics

  • Simple image recognition task with numpy and matplotlib

• simple_neural_network

  • Simple example of neural network with numpy
  • data downloaded from task_1: https://neuroinflab.wordpress.com/tasks/

To run Tensorboard go to project location in console and type:

tensorboard --logdir=tensorboard/

Initial presentation:

• https://docs.google.com/presentation/d/1p1NeWL5mAyVRhNSXFgHnd4qjKAiiD_AkAv5mbOTutho

Coursera Machine Learning course:

• https://www.coursera.org/learn/machine-learning

Neural Network Playground online (Tensorflow Playground):

• http://playground.tensorflow.org

Matplotlib charts and graphs examples:

• https://matplotlib.org/gallery.html

Maths behind backpropagation:

• https://towardsdatascience.com/learning-backpropagation-from-geoffrey-hinton-619027613f0

IDE - Pycharm for students and researcher:

• https://www.jetbrains.com/shop/eform/students

Colab examples of Deep Neural Networks:

• https://research.google.com/seedbank/

Markdown cheatsheet:

• https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet

Kaggle datasets search:

• https://www.kaggle.com/datasets

Malaria infected/uninfected cell images:

• https://www.kaggle.com/iarunava/cell-images-for-detecting-malaria

Blood cell images:

• https://www.kaggle.com/paultimothymooney/blood-cells

Circadian Rhythm in the Brain

• https://www.kaggle.com/kmader/circadian-rhythm-in-the-brain