In this 1-hour long project-based course, you will be able to: - Understand the theory and intuition behind Autoencoders - Import Key libraries, dataset and visualize images - Perform image normalization, pre-processing, and add random noise to images - Build an Autoencoder using Keras with Tensorflow 2.0 as a backend - Compile and fit Autoencoder model to training data - Assess the performance of trained Autoencoder using various KPIs Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

In this project, we will train deep neural network model based on Convolutional Neural Networks (CNNs) and Residual Blocks to detect the type of Diabetic Retinopathy from images. Diabetic Retinopathy is the leading cause of blindness in the working-age population of the developed world and estimated to affect over 347 million people worldwide. Diabetic Retinopathy is disease that results from complication of type 1 & 2 diabetes and can develop if blood sugar levels are left uncontrolled for a prolonged period of time. With the power of Artificial Intelligence and Deep Learning, doctors will be able to detect blindness before it occurs.

Since many software developers are compulsive coders, they have created software over the years to help them do their job. There are tools which make design and its associated tasks easier. The course introduces some basic tools and techniques to help you with design. Tools aren’t always tangible, however. The last two lessons of this course discuss questions of Ethics in software development. The purpose here is, as with tools, to equip you to better carry our your responsibilities as a designer. Students will be required to have a prior knowledge of writing and delivering software and some programming knowledge in java.

In this 2-hour long project-based course, you will learn how Django's rich testing framework work, and how to use it to test your web apps. You will create a simple Django project with two apps, and you will create test methods to cover model and view methods. Using the Client object, you will write code that virtually interact with your form. You will run the tests and improve your code based on the results of the tests. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Learn how to implement concurrent programming in Go. Explore the roles of channels and goroutines in implementing concurrency. Topics include writing goroutines and implementing channels for communications between goroutines. Course activities will allow you to exercise Go’s capabilities for concurrent programming by developing several example programs.

In this 1 hour guided project, you will build a macro processor and create your very own macro markup language then you can expand! We will focus on file operations in PERL in this guide project. Prerequisite: Basics of PERL including variables, arrays, conditionals, loops, and print statements.

By the end of this course, you will understand the test-driven development process in Java at a beginner's level.

In this extended-length, two-hour, project-based course, you'll learn how to add a bullet-count to a weapon in an FPS game. You'll also learn how to create a reload mechanic, create a pick-up for new ammunition and create a new weapon for the player to pick up and use. This guided project will introduce you to the following Unity concepts: - Prefabs - Animation - Triggers - Inheritance - Coding techniques including the Input class, KeyCodes, Interfaces, Inheritance and Polymorphism This is Part 4, the special, extended-length finale of our four-part series on creating a weapon for your FPS game. In Part 1, we covered equipping your FPS player with a revolver. In Part 2, we learned how to create visual effects when the player pulls the trigger. Part 3 showed you how to set up the weapon's properties and apply damage effects to destructible GameObjects. This is a stand-alone guided project, but because this is the final part of the "FPS Weapon" series, it is recommended that you complete the first parts before commencing this guided project. This series also makes use of the western-themed Unity project created in Control physics with C# in Unity and the VM-compatible FPS Player script written in Create a VM Compatible First Person Camera. These compliment this guided project and, although not prerequisites, are recommended for a more well-rounded understanding of the concepts presented herein.

With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm. We'll start the nuts and bolts how to effectively parallelize familiar collections operations, and we'll build up to parallel collections, a production-ready data parallel collections library available in the Scala standard library. Throughout, we'll apply these concepts through several hands-on examples that analyze real-world data, such as popular algorithms like k-means clustering. Learning Outcomes. By the end of this course you will be able to: - reason about task and data parallel programs, - express common algorithms in a functional style and solve them in parallel, - competently microbenchmark parallel code, - write programs that effectively use parallel collections to achieve performance Recommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Functional Program Design in Scala: https://www.coursera.org/learn/progfun2.

In this intermediate-level course you will explore and compare CSS (Cascading Style Sheets) selectors. As HTML is used to add content to a website, CSS is used to make that content visually appealing to website visitors. This course focuses on helping you identify how and when to use element, class, and ID selectors to enhance the appearance of text on a website’s pages. CSS is a very powerful tool and gaining more control over the visual aspects of textual data on a website is a great first step in harnessing that power. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.