In this self-paced course, you will learn how to use TensorFlow 2 to build deep neural networks. You will learn the basics of machine learning, classification, and regression. We will also discuss the connection between artificial and biological neural networks and how that inspires our thinking in deep learning.
Digital forensics is becoming very important in cyber security to detect and backtrack Black Hat criminals. It is essential to remove hackers' malicious backdoors/malware and trace them back to avoid possible future incidents.
Learn to program with Python 3, visualize algorithms and data structures, and implement them in Python projects
This course covers the basic concepts of machine learning (ML) that are crucial for getting started on the journey of becoming a skilled ML developer. You will become familiar with different algorithms and networks, such as supervised, unsupervised, neural networks, Convolutional Neural Network (CNN), and Super-Resolution Convolutional Neural Network (SRCNN), needed to develop effective ML solutions.