Recap
In Part I, we learned about AI’s evolution. We learned about neural networks. We also learned about reinforcement learning. If you didn’t see it, neural networks are this incredible new technology. They’re designed to mimic the human brain. This means they can learn and make decisions. They’re being used in many areas, such as recognizing speech or analyzing big data sets.: The model has at least three layers: the input layer, the hidden layer, and the output layer. These layers are connected by weights and biases. The model changes these weights and biases to match the data. Now, it’s time to apply neural networks in real life. This article won’t cover algorithms, coding, or AI model complexities. Instead, it will focus on ways you can create AI models. You can do this without any coding or programming knowledge.
First Step
First, start by exploring free online resources. Check out scratch.com, machinelearningforkids.co.uk, code.org, and khanacademy.com. These sites offer lessons on coding, logic, basic AI, and machine learning. They also guide you through creating your projects and AI models. This enables you to make your first machine learning (ML) model. Interestingly, you don’t need any prior knowledge of coding or logic for this step. We will teach you to create an AI model. This model can identify if a person or image looks ‘sad or happy’.
Visit https://entechonline.com/review-article-all-about-ai-part-ii-how-to-easily-create-ai-models-without-code-mar-2024-2321-23/ to read full article.
