Hands on Machine Learning Project - Auto Image Captioning for Social Media Course

Description

Imagine scrolling through your social media feed and coming across a stunning image that leaves you speechless. But what if that image could speak for itself? Our Hands on Machine Learning Project - Auto Image Captioning for Social Media Platform course is designed to help you do just that. In this course, you'll learn how to create an auto image captioning system that generates captions for images, making them more accessible to everyone.

With our course, you'll delve into the world of machine learning, learning how to import libraries, access caption and image datasets, preprocess text and image data, tokenise text, define the model, and evaluate and test the model. The course also covers deploying the machine learning app, creating a Streamlit app, and testing and deploying the app on AWS EC2 Instance.

This course is perfect for anyone interested in machine learning, computer vision, and natural language processing. Whether you're a student, a developer, or a data scientist, this course will give you the skills and knowledge needed to create an auto image captioning system for your social media platform.

So, join us today and learn how to create an auto image captioning system that will change the way people interact with images on social media forever!

Learning Outcomes:

• Develop an auto image captioning system using machine learning.
• Preprocess image and caption data.
• Define and evaluate the model.
• Deploy your machine learning app on AWS EC2 instance.Gain real-world experience in machine learning app development.

The Hands-on Machine Learning Project - Auto Image Captioning for Social Media Platform course is designed to give you a comprehensive understanding of how to develop an auto image captioning system using machine learning. The course covers topics such as importing libraries, preprocessing text and image data, defining and evaluating the model, and deploying your machine learning app on AWS EC2 instance. You'll have access to the caption dataset and image dataset for training and test purposes, providing you with hands-on experience in machine learning app development.

This course is perfect for aspiring data scientists, machine learning engineers, and developers who want to gain real-world experience in machine learning app development. With the skills and knowledge gained from this course, you'll be able to create your own auto image captioning system and start a career in the exciting field of machine learning.

⊱⊱ Hands on Machine Learning Project - Auto Image Captioning for Social Media Course Curriculum

Section 01: Introduction

• Introduction to Course

Section 02: Building the Auto Image Captioning

• Import the Libraries
• Accessing the Caption Dataset for Training
• Accessing the Image DataSet for Training
• Preprocessing the Text Data
• Pre-Process and Load Captions Data
• Loading the Captions for Training and Test Data
• Preprocessing of Image Data
• Loading Features for Train and Test Dataset
• Text Tokenization and Sequence Text
• Data Generators
• Define the Model
• Evaluation of Model
• Test the Model

Section 03: Deployment of Machine Learning App

• Create Streamlit App
• Streamlit Prediction
• Test Streamlit App
• Deploy Streamlit on AWS EC2 Instance
  

How is the course assessed?

Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%.

Exam & Retakes:
It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.

Certification
Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).

CPD

Who is this course for?

Requirements

Career path

Certificates