Convolutional Neural Networks: Implementing & TrAIning

This course explores machine learning convolutional neural networks (CNNs) which are popular for implementation in image and audio processing. Learners explore AI (artificial intelligence) and the issues surrounding implementation how to approach organizational talent and strategy and how to prepare for AI architecture in this 8-video course. You will learn to use the Google Colab tool and to implement image recognition classifier by using CNN Keras and TensorFlow. Next learn to install and implement a model and use it for image classification. You will examine the artificial neural network ResNet (residual neural network) and how it builds on constructs known from pyramidal cells and cerebral cortex. You will also study PyTorch an open-source machine learning library that enables fast flexible experimentation and efficient production through a hybrid front end and learn to use the PyTorch ecosystem tool to develop and implement neural networks. Finally this course demonstrates how to create a data set by using TrAIning CNN by using PyTorch to categorize garments.