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New Feature Alert ⚡️
Evaluation Preview added into our training monitor tab to provide you with a deeper look at how your #deeplearing model is learning various features over time!

Identify images that the models have issues grasping as the training is happening 🔥 https://t.co/jZwpaIJP25

New Feature Alert ⚡️ We now support exporting your trained models in #TFLite and have created a dedicated interface to generate these conversions.

Moving forth, we will be working to support #PyTorch, ONNX, and more!
...🧶 https://t.co/rIdKH6RbmM

We are excited to announce that we've raised US$2.7 million for our Series Seed, led by @openspacevc 🚀

We remain dedicated to helping teams build AI breakthroughs. Let's democratize #deeplearning and #mlops together!

Our Thoughts → https://t.co/0MterStKvY https://t.co/raTI1zMJiW

Thanks for sharing this article @anebzt! Super interesting + useful💡We will share this in our next newsletter!

Thrilled to be part of your experiments - also glad the models work well with friends over at @streamlit and @huggingface 👋 https://t.co/B0aRHkFgfc

We are swiftly expanding our features to improve dev experience!

Now that the platform has reached a full end-to-end status, we can track your experiments from labelling to model performance.

Next up? Neural Network Deploy API 🌩 https://t.co/y3D9fSAHqt

IntelliBrush Early Access ends in a couple of weeks - just in time for our #ProductHunt launch!

A #deeplearning brush that requires only 2-3 clicks to generate masks labels for your dataset and requires no pre-training?

Try it out for yourself today ↓
https://t.co/A5UBtVSLfu https://t.co/PrYwiPD7Sy

Running sanity checks on your labelled dataset can be hard. Analyzing every image might not be feasible for all #deeplearning projects.

Introducing Metadata Queries - Search assets using expressions to validate your #dataset assumptions easily 🔦

Blog → https://t.co/XFM3g11eRs

Check out Datature Intellibrush! Announced during our Fall Webinar, we have made #annotation of complex much more efficient and accurate.

Requiring only 2-3 clicks, IntelliBrush uses #deeplearning to generate mask labels in less than a second ⚡️

https://t.co/wm7zTgvmAZ

Portal is the fastest way to load and visualize your #deeplearning models in your browser 🔮

We are all sick of wrangling a bunch of cv2 or matplotlib codes in collab to visually test CV models - especially on videos.

#OpenSource on https://t.co/BxRcpX3lCQ! Try it out today!

We have launched Portal on #ProductHunt! 👉https://t.co/ieZ7v0Rqwc

Portal is the fastest way to load and visualize your deep neural networks on images and videos 🔮 No more wrangling of cv2 or matplotlib just to check how your model is performing on videos or images!