Welcome to GCP Introduction to Convolutions with TensorFlow GSP632!
In this course, you will learn how to use Google Cloud Platform (GCP) and TensorFlow to perform image recognition using Convolutional Neural Networks (CNN). CNNs are a type of deep learning model that have revolutionized image recognition tasks by automatically learning features from raw data.
Throughout this course, you will work with TensorFlow, an open-source machine learning library developed by Google, to build and train CNN models. You will also learn how to deploy your trained models on GCP using Cloud AI Platform, a managed service for building, training, and deploying machine learning models at scale.
What You Will Learn:
- Introduction to Convolutional Neural Networks
- Building CNN models with TensorFlow
- Training CNN models on GCP
- Deploying CNN models on Cloud AI Platform
Prerequisites:
Before starting this course, it is recommended that you have some basic knowledge of machine learning and Python programming. Familiarity with Google Cloud Platform is also beneficial but not required.
Course Outline:
- Introduction to Convolutional Neural Networks
- Building CNN models in TensorFlow
- Training CNN models on GCP
- Deploying CNN models on Cloud AI Platform
By the end of this course, you will have a solid understanding of Convolutional Neural Networks and how to leverage GCP and TensorFlow to build and deploy image recognition models. Start your learning journey today and unlock the power of CNNs with GSP632!
