ANN, CNN and Computer Vision

In this lesson, we will learn ANN, CNN, and Computer Vision. Artificial Neural Networks, dense layers, image data, pixels, convolution, filters, pooling, CNN architecture, and computer vision applications will be explained in a simple and practical way. ## Lesson objective In this lesson, we will learn ANN, CNN, and Computer Vision. In the previous lesson, we covered Unsupervised Learning, Clustering, and PCA. We explained finding patterns without a target, K-Means, centroid, elbow method, silhouette score, cluster profiling, customer segmentation, PCA, dimensionality reduction, and explained variance.