Course Overview
Learn how to make a genuine difference in your life by taking our popular Hands on Machine Learning Project – Auto Image Captioning for Social Media. Our commitment to online learning and our technical experience has been put to excellent use within the content of these educational modules. By enrolling today, you can take your knowledge of Hands on Machine Learning Project – Auto Image Captioning for Social Media to a whole new level and quickly reap the rewards of your study in the field you have chosen.
We are confident that you will find the skills and information that you will need to succeed in this area and excel in the eyes of others. Do not rely on substandard training or half-hearted education. Commit to the best, and we will help you reach your full potential whenever and wherever you need us.
Please note that Hands on Machine Learning Project – Auto Image Captioning for Social Media provides valuable and significant theoretical training for all. However, it does not offer official qualifications for professional practice. Always check details with the appropriate authorities or management.
Learning Outcomes
- Instant access to verified and reliable information
- Participation in inventive and interactive training exercises
- Quick assessment and guidance for all subjects
- CPD accreditation for proof of acquired skills and knowledge
- Freedom to study in any location and at a pace that suits you
- Expert support from dedicated tutors committed to online learning
Your Path to Success
By completing the training in Hands on Machine Learning Project – Auto Image Captioning for Social Media, you will be able to significantly demonstrate your acquired abilities and knowledge of Hands on Machine Learning Project – Auto Image Captioning for Social Media. This can give you an advantage in career progression, job applications, and personal mastery in this area.
Is This Course Right for You?
This course is designed to provide an introduction to Hands on Machine Learning Project – Auto Image Captioning for Social Media and offers an excellent way to gain the vital skills and confidence to start a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Full-time and part-time learners are equally supported, and the study periods are entirely customisable to your needs.
Assessment Process
Once you have completed all the modules in the Hands on Machine Learning Project – Auto Image Captioning for Social Media course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards.
Show off Your New Skills with a Certification of Completion
The learners have to successfully complete the assessment of this Hands on Machine Learning Project – Auto Image Captioning for Social Media course to achieve the CPD & IAO accredited certificate. Digital certificates can be ordered for only £10. Learners can purchase printed hard copies inside the UK for £29, and international students can purchase printed hard copies for £39.
Course Curriculum
Section 01: Introduction | |||
Introduction to Course | 00:05:00 | ||
Section 02: Building the Auto Image Captioning | |||
Import the Libraries | 00:09:00 | ||
Accessing the Caption Dataset for Training | 00:05:00 | ||
Accessing the Image DataSet for Training | 00:02:00 | ||
Preprocessing the Text Data | 00:11:00 | ||
Pre-Process and Load Captions Data | 00:11:00 | ||
Loading the Captions for Training and Test Data | 00:04:00 | ||
Preprocessing of Image Data | 00:11:00 | ||
Loading Features for Train and Test Dataset | 00:09:00 | ||
Text Tokenization and Sequence Text | 00:11:00 | ||
Data Generators | 00:11:00 | ||
Define the Model | 00:03:00 | ||
Evaluation of Model | 00:09:00 | ||
Test the Model | 00:08:00 | ||
Section 03: Deployment of Machine Learning App | |||
Create Streamlit App | 00:10:00 | ||
Streamlit Prediction | 00:06:00 | ||
Test Streamlit App | 00:03:00 | ||
Deploy Streamlit on AWS EC2 Instance | 00:09:00 |
COURSE REVIEWS
- 1 year
- Intermediate
- Number of Units18
- Number of Quizzes0
- 2 hours, 17 minutes Gift this course