Day 14 — “The Little Machine That Wanted to Learn”
The learning objectives for day 14 were:
- What is machine learning?
- Basic machine learning structures and algorithms
- Using neural networks to predict defective toys
This time we had to make our own neural network to that can be used to detect defective toys, for this task we were provided with a script to build our neural network, training and testing dataset.
We started by learning about generic algorithm, particle swarn, neural networks, and then we moved on to the machine learning styles: supervised and unsupervised. Then we were taught about the basic structure of neural networks, feed forward loop, back-propagation, dataset splits .How to create the training and testing dataset from a given dataset, normalising the data, training the neural network and validating it.
We also learned about the cybersecurity applications in machine learning , and importance to take caution .
Click here to see the walkthrough.
No comments:
Post a Comment