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Deep Learning with The Tensorflow and Python Masterclass

Build & improve apps driven by machine learning with data & models! Use Google's deep learning framework w/ Java & AI.
 Deep Learning with The Tensorflow and Python Masterclass
4.3 (2 ratings)
139 students enrolled
Created by Online Training Plus

What you'll learn
  • Learn how to code in Python, a popular coding language used for websites like YouTube and Instagram.
  • Master the basics: become an expert in Python and Java while learning core machine learning concepts
  • Learn TensorFlow and how to build models of linear regression
  • Machine learning goes mobile: learn how to incorporate machine learning models into Android apps
  • Make an app with Python that uses data to predict the stock market.
  • And More!
 
Go through 3 ​ultimate levels of artificial intelligence for beginners
Learn artificial intelligence, machine learning, and mobile dev with Java, Android, TensorFlow Estimator, PyCharm, and MNIST. Woah! That's a lot of content for one course.
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 simple ​weather prediction project, ​stock market prediction project, and ​text-response project.
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 PyCharm 2017.2.3 and explore the interface. I will show you every step of the way. You will learn ​crucial Python 3.6.2 language fundamentals. Even if you have coding knowledge, going back to the basics is the ​key to success as a programmer. We will build and run Python projects. I teach through ​practical examples, follow-alongs, and over-the-shoulder tutorials. ​You won't need to go anywhere else.
Then we will install Android Studio 3 and 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 a ​HUGE language that you must know, and I will tell you all about it. We will build and run Android projects directly in the course, and you will have ​solid examples to ​apply your knowledge immediately.
Complete Image Recognition and Machine Learning for Beginners
With this course I will 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, and ​they'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 you what TensorFlow 1.4.1 is and how it makes machine learning development easier. You will learn how to install TensorFlow and access its libraries through PyCharm. You'll understand the basic components of TensorFlow.
Follow along with me to build a ​complete computational model. We'll train and test a model and use it for future predictions. I'll also show you how to build a ​linear regression model to fit a line through data. You'll learn to train and test the model, evaluate model accuracy, and predict values using the model.
Machine learning is a way for a program to analyze previous data (or past experiences) to make decisions or predict the future.
We use frameworks like TensorFlow that make it easy to build, train, test, and use machine learning models. TensorFlow makes machine learning so much more accessible to programmers everywhere.
You can expect a complete and comprehensive course that guides you first through the basics, then through some simple models. You will end up with a ​portfolio of apps driven by machine learning, as well as the know-how to create more and expand upon what we build together.
Tools, tips, and tricks (with Android support, Python & Java)
I start by teaching you the basics of the languages, programs, and underlying concepts of machine learning. You will become ​an expert ready to build your own machine learning-driven mobile apps, which are the future in mobile app development.
No experience? No problem. ​Enroll now to get started
Also now included in these bundles are our extra courses. If you want to learn to use other programs such as Camtasia or Sketch, you get more content than what you paid for this way!
We really hope you decide to purchase this course and take your knowledge to the next level. Let's get started.
Enroll now to join the community!
Who this course is for:
  • People who want to learn machine learning concepts through practical projects with PyCharm, Python, Android Studio, Java, and TensorFlow
  • Beginners who want to learn to use Artificial Intelligence.
  • Anyone who wants to learn the technology that is shaping how we interact with the world around us
  • Prior coding experience is helpful. For an in-depth intro to Python, search for our Ultimate Python Beginner Course.
  • Topics involve intermediate math, so familiarity with university-level math is very helpful.
  • Anyone who is interested in predictive modeling for handling the stock market, weather, and text
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