Unleash Machine Learning: Build Artificial Neuron in Python


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Course overview

Course type
Paid course
3 hours
28 lessons
Available on completion
Course author
Razvan Pistolea
  • Build from scratch your own Artificial Neural Network
  • Know the fundamentals of Machine Learning and ANN
  • Train your ANN using 3 different datasets with increasing complexity
  • Predict the correct output using your trained ANN
  • Evaluate the accuracy of your predictions
  • Use scikit-learn, numpy and opencv


A journey into Machine Learning concepts using your very own Artificial Neural Network: Load, Train, Predict, Evaluate
  • Cars that drive themselves hundreds of miles with no accidents?
  • Algorithms that recognize objects and faces from images with better performance than humans?

All possible thanks to Machine Learning!

In this course you will begin Machine Learning by implementing and using your own Artificial Neuronal Network for beginners.

In this Artificial Neuronal Network course you will:

  • understand intuitively and mathematically the fundamentals of ANN
  • implement from scratch a multi layer neuronal network in Python
  • load and visually explore different datasets
  • transform the data
  • train you network and use it to make predictions
  • measure the accuracy of your predictions
  • use machine learning tools and techniques

  • Jump in directly:

    • All sourcecode and notebooks on public GitHub
    • Apply Machine Learning: section 4
    • Implement the ANN: section 3
    • Full ride: section 1, 2, 3, 4

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