Deep Learning: Convolutional Neural Networks in Python

Understand convolution and why it's useful for Deep Learning Understand and explain the architecture of a convolutional neural network (CNN) Implement a CNN in TensorFlow 2 Apply CNNs to challenging Image Recognition tasks Apply CNNs to Natural Language Processing (NLP) for Text Classification (e.g. The Convolutional Neural Network (CNN) has been used to obtain state-of-the-art results in computer vision tasks such as object detection, image segmentation, and generating photo-realistic images of people and things that don't exist in the real world! This course will teach you the fundamentals of convolution and why it's useful for deep learning and even NLP (natural language processing). You will learn about modern techniques such as data augmentation and batch normalization, and build modern architectures such as VGG yourself. The basics of machine learning and neurons (just a review to get you warmed up!) Neural networks for classification and regression (just a review to get you warmed up!)