Deep Learning Project Building with Python and Keras

About Deep Learning Project Building with Python and Keras

You will not regret taking this course. Check out all that you'll learn:

First 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. 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. Then we'll get started with

_Keras_

, which we'll compare with TensorFlow to make it easier to understand, and to build your knowledge upon itself. By connecting new information with existing knowledge, you'll form _stronger connections_ in your brain on all of this valuable tech content. You'll learn where and how to use Keras. By the end of this course you'll have such a solid grasp you can add all of these technologies as qualifications on your _resume, LinkedIn profile, or personal website_. We will build a basic

_image recognition model_

in PyCharm. We'll save the trained model, export it to Android Studio, and build an app around the model. We will follow the same process to make apps for

_facial recognition_

,

_facial detection_

, and

_digit recognition_

. Then we will cover

_advanced topics_

and make more _complex_ and _sophisticated_ projects for recognizing handwritten digits and images from datasets.

This course was funded by a wildly successful Kickstarter

Discover the Keras library

Explore PyCharm and the Python language

Explore Android Studio and the Java language

Discover machine learning concepts

Explore TensorFlow, a machine learning framework

What are you waiting for? Stop reading and start watching! See you there :)