Page 205 - Ai_C10_Flipbook
P. 205
Task 21 st Century #Creativity
Skills
Go to the following link www.piskelapp.com and create your own pixel art. Try and make a GIF using
the online app for your own pixel art.
Computer Vision (Practical)
No-Code AI Tools
Imagine a world where creating an AI model is as straightforward as assembling pieces of a puzzle. Thanks to
no-code AI tools, this vision has become a reality. A No-Code AI tool is a software platform that allows users to
build, deploy, and manage Artificial Intelligence (AI) models without writing any code. These tools provide a visual,
drag-and-drop interface and pre-built AI components, making AI development accessible to non-programmers,
business users, and domain experts.
Deploying and Optimising AI Models with No-Code Tools
Steps for deploying and optimising AI models with no-code tools are as follows:
1. Select the right platform: Choose a no-code AI platform that aligns with your business needs and objectives.
Different platforms offer unique features, so selecting the right one is crucial for success.
2. Prepare your data: Clean, organise, and preprocess your data. Most no-code platforms provide tools to help
you with this step, ensuring your data is ready for training.
3. Build your model: Use intuitive, drag-and-drop interfaces to create models for tasks like classification,
regression, or clustering. The platform will guide you through the process and offer suggestions based on
best practices.
4. Train the model: Once the model is built, use the platform’s Auto-ML (Automated Machine Learning) features
to optimise the training process. These tools automatically select the best algorithms and parameters for the
task.
5. Fine-tune parameters: After initial training, adjust model parameters to improve performance. No-code
platforms provide automated suggestions or allow manual fine-tuning for further optimisation.
6. Evaluate and refine: Assess the model’s performance using built-in metrics. Interpret the results through
visualizations, and make necessary adjustments to enhance accuracy and efficiency.
7. Deploy the model: Finally, deploy your model with ease. No-code tools provide deployment options like APIs,
web services, or seamless integration with your existing systems, making the deployment process simple.
Introduction to Lobe
Lobe is a user-friendly, no-code AI tool designed to make it easy
for anyone to create AI models without needing programming
skills. It is part of a category called Automated Machine
Learning (Auto-ML) tools, which handle the complex processes
of building, training, and optimising AI models automatically.
Lobe specialises in image classification, a type of AI task where
the goal is to identify and categorise objects within images.
Computer Vision 203

