Hey, fellow developers! 🖐️
We’re back with an exciting new release that’s packed with improvements to help you build faster, smoother, and with fewer headaches. Version 0.1.2 has officially dropped, and it comes with some crucial fixes that will enhance the neural network layer parsing, make your CLI operations run like a dream, and give you a more reliable WebSocket connection. Let’s dive in and explore what’s new! 👇
🧠 Layer Parsing Gets an Upgrade!
MaxPooling2D Strides 🚧
We all know how frustrating it is when your pooling layers don’t quite work as expected. Well, say goodbye to that issue! We've fixed the parsing for MaxPooling2D strides—so your pooling layers now behave exactly as you want them to.
Conv2D Layers: More Reliable Than Ever! 🔥
Conv2D layers are at the heart of many neural networks, so we made sure that filters, kernel_size, and activation (like conv2d-relu and conv2d-tanh) are all captured accurately. No more missed parameters—just seamless convolutional layers.
💥 Pro Tip:
If you’ve been having issues with the AttributeError in the conv2d method, no worries! We used the new _extract_value helper to handle parameters better. Now, it all works smoothly, even with edge cases! 🙌
🖥️ CLI Fixes for the Win!
For all you command-line lovers, we’ve made some important fixes:
Test Compilation Done Right! ✅
We noticed a few errors with imports, file creation, data types, and exit codes in test_compile_command. Those bugs have been squashed, so your CLI commands should now execute without any hitches. 🎯
No more wondering whether the tests will run! You can trust that your automated workflows will be glitch-free from now on.
🌐 WebSocket & Dashboard Magic ✨
When it comes to real-time data and smooth visualizations, we know how important it is to get everything just right. So, we focused on:
WebSocket Connection Refusal Fixed 🔌
Ever run into issues where your WebSocket just doesn’t connect? That’s a thing of the past now. Our fix ensures that server-client communication is seamless and the connection flows without interruption.
Dashboard Visualization Trouble? Gone! 🚀
We’ve also patched an annoying ERR_CONNECTION_REFUSED error during Selenium-driven dashboard visualizations. Your dashboard should now load without the dreaded connection issues. Your models are ready for their close-up! 🎥
🛠️ Code Generation Now Foolproof!
Last but not least, we tackled an issue with the TensorFlow code generator:
Fixed the Pesky NoneType Error 💥
We were experiencing some NoneType errors during code generation, but no more! The TensorFlow code generation is now smooth and reliable, so you can focus on building models, not debugging code generation issues.
💡 Why This Matters
So, why should you care about all of these updates? Here's why:
Reliability:
We’ve nailed down the neural network layer parsing so that you can focus on your model, not debugging layer configurations. Fewer surprises means faster development!Developer Happiness:
CLI and dashboard improvements mean fewer headaches and more efficient workflows. Trust us, your productivity will thank you.Integration Confidence:
With WebSocket and code generation now more stable, integrating our tools into your projects has never been easier. Say hello to fewer connection and code issues! 👋
🔮 Looking Ahead
This release is just the beginning! We’re not stopping here—expect even more improvements and new features down the road. As always, your feedback is crucial to making this project better. If you encounter any bugs or have cool suggestions, let us know on GitHub Issues or connect with us via our community channels.
Stay tuned for what’s coming next, and happy coding! 💻🎉
🔔 Thanks for reading! Hope you enjoy the update and feel free to reach out with questions or comments. The journey to a better development experience continues! 🚀
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