The Deep Learning Masterclass: Make a Keras Image Classifier
Welcome to this epic masterclass on Keras (and so much more) with our #1 data scientist and app developer Nimish Narang, creator of over 20 Mammoth Interactive courses and webinars.
This course was funded by a wildly successful Kickstarter
Anyone can take this course. No experience is required. If you already have experience using PyCharm and running Python files and programs on the interface, you can simply skip ahead to whatever section best suits your needs. Or, you can follow the progression of this meticulously curated course especially designed to take any absolute beginner off the street and make them a data modeler.
This course is divided into days, but of course you can learn at your own pace. In Day 2 we teach you all the fundamentals of the Python programming language. If you already have experience coding in this popular language, brushing up on the fundamentals and fixing bad coding habits is a great exercise. If you are a beginner this section ensures you don't get lost with the rest of the crowd.
At Day 3 we dive into machine learning and neural networks.
You also get an introduction to convolutions. These are hot topics that are in high demand in the market. If you can use this new technology to your advantage you are pretty much guaranteed a job! Everyone is desperate for employees with these skills.
In Day 4 we go headfirst into Keras and understanding the API and Syntax.
You also get to know TensorFlow, the open source machine learning framework for everyone.
At Day 5 we explore the CIFAR-10 image dataset. Then we are ready to build our very own image classifier model from scratch. You will learn how to classify images by training a model.
We're going to have a lot of fun, and you'll have complete projects to put on your resume immediately.
Who is the target audience?
Join now in this NEW Mammoth Interactive bootcamp course!
Nimish Narang is our mobile app developer specializing in both iOS and Android apps. In his free time, he likes to play guitar, go to the gym and laze around at the beach.