Unleash Machine Learning: Build Artificial Neuron in Python
A journey into Machine Learning concepts using your very own Artificial Neural Network: Load, Train, Predict, Evaluate
Ratings 4.40 / 5.00
What You Will Learn!
- 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
Description
- 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
Who Should Attend!
- SHOULD NOT: beginners in Python
- SHOULD NOT: experts in Machine Learning
- SHOULD: students that want to begin Machine Learning with concepts and tools
- SHOULD: students who want to learn and gain insights into why Artificial Neural Networks are such a powerful and unique tool
