Deploy machine learning models on Google Cloud AI Platform
Learn to deploy machine learning models on Google Cloud AI Platform
Deploy machine learning models on Google Cloud AI Platform udemy course
Learn to deploy machine learning models on Google Cloud AI Platform
What you'll learn:
- How to deploy regression and binary classification machine learning models on Google Cloud AI Platform
- How to send post requests to the deployed model
- How to train an very accurate neural network to predict sentiment
- How to deploy the Natural Language Processing Model
- Some tips when using Google Cloud AI Platform for deployment
- How to evaluate model health of a deployed model on Google Cloud AI Platform
Requirements:
- That you have an active GCP account
- That you either have a google colab or another notebook with Tensorflow already installed
- Have Intermediate Python and basic Tensorflow Knowledge
- Have very basic cloud concepts
- Already know how to build an accurate machine learning model and evaluate it with a classification report
Description:
My Course is meant for anyone who already knows how to build both machine and deep learning models that is interested in deploying them easily on Google Cloud AI Platform. So that they can send the deployed models post requests. Also you must be familiar with Natural Language Processing and some basic cloud concepts. I will explain everything in the videos. But most importantly you do not need to be an expert in python to do this. However this is again intended for those who already know how to build models with scikitlearn and tensorflow. Because these are the frameworks we will be using and selecting for deployment. Be sure when you do it to select the correct frameworks or you will most likely not be able to deploy your model. That I will also explain in these featured videos. But more importantly enjoy your time learning because should be a very smooth course. If you pay attention you will easily pass my quizzes. Again this is intermediate level not advanced or basic. In this video we will be doing predictions not in jupyter lab with the notebook but be sending post requests to the deployed model. You will mostly be sending post requests to classifiers and regressors the majority of the time. Also in this video you will learn how to build an very accurate neural network for predicting sentiment with the IMDB movie reviews dataset. Then you will deploy it. The datasets we will be working with are the malware dataset from kaggle, the car price dataset from kaggle, and the car purchase dataset from kaggle. However feel free to use your own datasets since you know how to build models. In fact that is strongly encouraged.
Who this course is for:
- Those who already know how to build machine learning models and want to deploy them on Google Cloud AI Platform
- Those who are interested in building an more accurate sentiment analysis model and want to deploy the saved model
- Those who want to learn to send post requests to a deployed model on Google Cloud AI Platform
- SEO Keyword Research For Pro: Ahref, Semrush, Kgr & More
- How To Do Keyword Research For SEO & Ranking On Google
- Advanced keyword research for SEO
- WordPress training for 2018 step-by-step WordPress tutorial
Course Details:
- 32 минут видео по запросу
- Полный пожизненный доступ
- Доступ через мобильные устройства и телевизор
- Сертификат об окончании
Deploy machine learning models on Google Cloud AI Platform udemy free download
Learn to deploy machine learning models on Google Cloud AI Platform
Demo Link: https://www.udemy.com/course/deploy-machine-learning-models-on-google-cloud-ai-platform/
