Make 16 apps for Android & iOS w/ machine learning & filters هذه الدورة تدرس باللغة الإنجليزية

تفاصيل الدورة

Leverage TensorFlow models to build & improve apps! Use Google's deep learning framework withJava & AI. Learn image manipulation and recognition techniques for iOS apps.

Go through 3ultimatelevels of artificial intelligence for beginners

Learn artificial intelligence, machine learning, and mobile devwith Java,Android,TensorFlow Estimator, PyCharm, andMNIST.

This course was funded by a wildly successful Kickstarter

Use Google's deep learning framework TensorFlow with Python. Leverage machine learning to improve your apps

Prediction Models Masterclass

By the end of this course you will have 3 complete mobile machine learning models and apps.We will build a simpleweather predictionproject,stock market predictionproject, andtext-responseproject.

For each we will build a basic version in PyCharm, save the trained model, export the trained model to Android Studio, and build an app around model.

No experience? No problem

We'll give you all necessary information to succeed from newbie to pro. We will install PyCharm2017and explore the interface. I will show you every step of the way. You will learncrucialPython 3language fundamentals. Even if you have coding knowledge, going back to the basics is thekeyto success as a programmer. We will build and run Python projects. Iteach throughpractical examples, follow-alongs, and over-the-shoulder tutorials.You won't need to go anywhere else.

Then we will install Android Studio 3and explore the interface. You will learn how to add a simulator and build simple User Interfaces (UIs). For coding, you will learn Java 8 language fundamentals. Java is aHUGElanguage that you must know, and Iwill tell you all about it. We will buildand run Android projects directly in the course, and you will havesolid examplestoapply your knowledgeimmediately.

Complete Image Recognition and Machine Learning for Beginners

With this course Iwill help you understand what machine learning is and compare it to Artificial Intelligence (AI). Together we will discover applications of machine learning and where we use machine learning daily. Machine learning, neural networks, deep learning, and artificial intelligence are all around us, andthey're not going away. I will show you how to get a grasp on this ever-growing technology in this course. We will explore different machine learning mechanisms and commonly used algorithms. These are popular and ones you should know.

Next I'll teach youwhat TensorFlowis and how it makes machine learning development easier. You will learn how to install TensorFlow and access its libraries through PyCharm. You'llunderstandthe basic components of TensorFlow.

Follow along with me to build acomplete computational model. We'll train and test a model and use it for future predictions. I'll also show you how to build alinear regression modelto fit a line through data. You'll learn to train and test the model, evaluate model accuracy, and predict values using the model.

Stock Market, Weather & Text - Let's Go!

Why CIImages?

You will also learn how to make iOS 11apps in Xcode 9with Swift 4.A CIImage is a representation of an image that can be altered with Core Image filters. These filters allow users to change and interact with images in cool and useful ways. CIImages provide a lot of power that other image types do not.

Is this course for me?

By taking this course, you will gain the tools you need continue improving yourself in the field of app development. You will be able to apply what you learned to further experiment in Xcode and make your own apps able to perform more.

Let's get started!