Perceptilabs is an amazing tool for quickly iterating through and comparing different network designs. It takes a lot of the boilerplate out of TensorFlow, and makes communicating results to my colleagues so much easier.

We have been using Perceptilabs to design a point-of-care diagnostic platform at UCL. The software is fast and intuitive, and the statistics views are incredibly informative. On a more personal note, the PL team are friendly, professional and very knowledgeable. I look forward to using Perceptilabs and working with the team for many years to come.

The ease of use and GUI of PerceptiLabs were some of the early advantages that drew us to the tool. Our group has extensive prior ML modeling experience. The primary use was classification and anomaly detection models using features extracted from image data instead of using the image directly.

I find it easy, intuitive and beautiful to look at. One thing I like in particular is how it allows me to see in real-time inputs, outputs and activations from the model. 

PerceptiLabs has an amazingly easy-to-use GUI. Knowing how complex what they are doing really is under the covers, I knew immediately I had to bring this to the attention of our CTO office.

PerceptiLabs’ visual modeling tool is great for students and data science professionals. The easy-to-use interface makes machine learning easy to visualize and debug, leading to faster and more efficient tuning and training.

Having been engaged with AI/ML thinking for decades now, I was immediately struck by the power of Perceptilabs' visual modelling concept.