Train and Deploy Tensorflow models using Google AI Platform

Rating 4.4 out of 5 (62 ratings in Udemy)

What you'll learn

Build a deep convolutional neural network using Keras and tensorflow.
Leverage the power of transfer learning to get high accuracy on your classification task.
Use google cloud platform to make training and deploying your deep learning model easy and scalable.
Leverage the power of AI-Platform on Google Cloud Platform to focus on the training of your deep learning model and not on infrastructure.
Containerize your training code …

Rating 4.4 out of 5 (62 ratings in Udemy)

What you'll learn

Build a deep convolutional neural network using Keras and tensorflow.
Leverage the power of transfer learning to get high accuracy on your classification task.
Use google cloud platform to make training and deploying your deep learning model easy and scalable.
Leverage the power of AI-Platform on Google Cloud Platform to focus on the training of your deep learning model and not on infrastructure.
Containerize your training code and deployment code to make sure your code runs smoothly and everywhere.
How to deploy your deep learning model as a web app using Flask and Cloud Run.

Description

This course will take you through the steps that a machine learning engineer would take to train and deploy a deep learning model. We will start the course by defining an end goal that we want to achieve. Then, we will download a dataset that will help us achieve that goal. We will build a Convolutional Neural Network using Tensorflow 2 with Keras and then we will train this network on Google AI Platform. After saving the best trained model, we will deploy it as a web app using Flask and Google Cloud Run. Throughout the course, we will be using Docker to containerize our code.

The goal of this course is to make you proficient in training and deploying a deep learning model that was trained using the Tensorflow 2 library.

The course will be a great introduction to Google Cloud Platform if you haven't used it before. I actually made the course in such a way that even if you never used cloud computing services before, you will still be able to follow along.

I try to deconstruct the difficult concepts and make them easily digestible. My goal is to help you learn these skills and become able to apply them to your real life projects. Whether that be for your actual job or for your side projects.

Before creating this course, I actually faced difficulties finding a good guide that shows you how to go from data to building your model to training it on the cloud and finally to deploying it in a form of a web app that Ican share with friends, colleagues or clients.

This was the motivation behind creating this course. To simply make your life easier when trying to navigate through the field of deep learning and actually making something that you share with others.

Many introductory courses just show you how to train a deep neural network. But in real life, that's only a small part of an AI project. In this course, I try to show you a global picture of how Artificial Intelligence projects are made.

One very important thing that you should know is that when you face a problem throughout the course, my job is to help you solve it. You can see from the reviews of this course (and my other courses) that students are happy with the support that Ioffer them throughout their learning journey.

And of course, if you're not happy with the course content then you have a 30 days money back guarantee, so you have nothing to worry about!

I really hope to see you in class :)

Duration 8 Hours 58 Minutes

Paid

Self paced

All Levels

English (US)

2451

Rating 4.4 out of 5 (62 ratings in Udemy)

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