Four Courses Specialization Tensorflow in practise Specialization by coursera
Second course - Convolutional Neural Networks in TensorFlow
This second course teaches you advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropouts. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models.