Bullet PointsMachine learning is a subfield of artificial intelligence that uses algorithms (also known as models) in order to learn from data;In traditional programming, you hardcode all rules.
In machine learning, you create models that find patterns on your data;There are four categories in machine learning: Supervised, unsupervised, semi-supervised and reinforcement learning;Machine learning development process is divided by training, testing and inference phases;Artificial Neuronal Networks is a kind of machine learning models that tries to imitate how biological neurons interact with each other;Deep learning field is a subset of machine learning that uses artificial neuronal networks in a much deeper and complex way;Convolution Neuronal Networks goes deeper in size and complexity than traditional Artificial Neuronal Networks.
Imagenet had an important rule of improving the performance of convolutional neuronal networks.
Next episodeStay tuned for the next episodes where the fundamentals of deep learning will be explored deeper.
.. More details