The concept is great, and I appreciate how easy it is to get started.
It lacks advanced features that more experienced developers might need. I found it too basic for my projects.
It helps to understand the basics of machine learning, but I need more robust tools for my professional work.
I love how intuitive the platform is. I was able to train a model to recognize sounds for a voice-controlled app in no time!
Sometimes the model takes a bit long to process, especially with larger datasets, but it's manageable.
It enables me to create interactive educational tools without needing a programming background, which empowers my teaching methods significantly.
The straightforward interface makes it easy for anyone to start using machine learning. I appreciate the tutorials available.
I find that the models can sometimes be inaccurate with real-world data, which can be frustrating during testing.
I can quickly create and implement image recognition for my small business, enhancing my marketing strategies effectively.
I appreciate how user-friendly Google Teachable Machine is. The drag-and-drop interface makes it incredibly easy to upload images and train models without needing any coding skills.
The limitations on the number of classes you can create for recognition can be somewhat restrictive. I wish it allowed for more flexibility in complex projects.
It helps me create custom image recognition models for my e-commerce website, enhancing user experience. This has increased user engagement and sales significantly.
I am amazed by how quickly I could train my model for sound recognition. It’s incredibly efficient!
The lack of a community forum for troubleshooting can sometimes make it difficult to find solutions to problems.
It allows me to create inclusive educational content that can recognize various languages, making learning accessible for everyone.
The ability to quickly prototype and test models is fantastic! It saves time and allows for rapid iterations.
I would love to see more advanced options for model tuning, as it’s very basic for more experienced users.
It helps me create gesture recognition features for a fitness app, which improves user interaction and engagement.