From the section: Testing Image Classification.In this section, you will design specific security tests for image recognition systems. Here you will focus on one particular type of AI solution – image classification, and one...

From the section: Routing Introduction. In this section, we look into Routed protocols, demonstrations, static routes, dynamic routes, and different types of routing protocols. Routing Introduction: Introduction to IP Routing and Routed...

From the section: Steps for Ethical Hacking. In this part, you are going to learn how hackers think and act before and after they hack a system, and how they gather sensitive information. We’ll follow the same steps to test whether...

From the section: Compare Various Attacks. In this section, you will learn the most important metrics to compare various attacks. Now, you will dive deeper into various adversarial attacks from the white-box category. You will see how...

From the section: CNN-Industry Live Project: Playing With Real World Natural Images. This section includes a live project of working with flower images.



CNN-Industry Live Project: Playing with Real World Natural Images:...

From the section: CNN-Industry Live Project: Playing With Real World Natural Images. This section includes a live project of working with flower images.



CNN-Industry Live Project: Playing with Real World Natural Images:...

From the section: Algorithms - Sort, performance, complexity and big O notation. This section is about Algorithms – sort, performance, complexity and big O notation.<b<br/>r/>

A look at the divide/split function which introduces recursion

From the section: Improving Model Accuracy. We start with reviewing previous day’s assignment by looking at an ideal solution and results. This module takes a pause from introducing any new model and focuses on improving the models...

From the section: Python Crash Course. In this section, the author covers Python and provides a crash course on this.<b<br/>r/>

Python Crash Course: For Loops II

From the section: Programming TCP Clients and Servers In this section, we will learn about how to build TCP Servers and how it works.



In this video, we will look at how to handle threads with thr
ead pools.
• Show a...

From the section: Introduction to Artificial Neural Networks (ANN). This section introduces Artificial Neural Networks. You will learn about Neural Network for Binary Classifications, Neural Network with PCA for Binary Classifications,...

From the section: Shortest Path Search (Breadth First Search). In this section, we will develop LinkedIn’s connection feature using Breadth First Search. We take the concepts of the earlier section forward and learn about queue and...

From the section: Shortest Time Search (Depth First Search). Build a sample search tree by answering the questions.

• What is a
node
• What are the properties and methods of
node class
• How can nodes be...

From the section: Lists. This section focuses on lists and the various functions of the list.<b<br/>r/>

This video explains how to implement the List Insert method.

From the section: Algorithms - Sort, performance, complexity and big O notation. This section is about Algorithms – sort, performance, complexity and big O notation.<b<br/>r/>

Implement the bubble sort algorithm step by step

From the section: Programming TCP Clients and Servers In this section, we will learn about how to build TCP Servers and how it works.



In this video, will learn how to create a simple TCP ec
ho server.
• Learn the...

From the section: Attacking a Network. In this section, we will discover the diversity of ways a network can be attacked and demonstrate the attacks with various Kali Linux tools.



In this video, we will find out what is...

From the section: Introduction to Python. In this section we look at Python's fundamental, built-in data structures, and discuss how and when to use them.<b<br/>r/>

This video will give you an overview about the course.

From the section: Computer Vision Basics: Part 3. In this section, we’ll cover the advanced features of Computer Vision.<b<br/>r/>

Computer Vision Basics: Part 3: Feature Extraction - SIFT, SURF, FAST and ORB

From the section: Computer Vision Basics: Part 3. In this section, we’ll cover the advanced features of Computer Vision.<b<br/>r/>

Computer Vision Basics: Part 3: [Activity] Code to obtain color histogram

From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision.<b<br/>r/>

Computer Vision Basics: Part 1: [Activity] Convert RGB to HSV color spaces and merge/split channels

From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision.<b<br/>r/>

Computer Vision Basics: Part 1: [Activity] View colored image and convert RGB to Gray

From the section: Interacting with Classic Network Devices. In this section, we will look at how to interact with classic network devices with Python libraries. We will explain what we define as classic network devices and use...

From the section: Routing Introduction. In this section, we look into Routed protocols, demonstrations, static routes, dynamic routes, and different types of routing protocols.



Routing Introduction: Static Routes and Dynamic...