keras
JAX, TensorFlow, PyTorch ve OpenVINO (yalnızca çıkarım) arka uçlarını destekleyen çok arka uçlu bir derin öğrenme framework'üdür. Bilgisayarlı görü, doğal dil işleme, ses ve zaman serisi gibi alanlarda model geliştirmeyi kolaylaştırır. Dizüstü bilgisayardan GPU ve TPU kümelerine ölçeklenir.
keras-team · MLOps & AI Infrastructure
Common commercial products in this category: Weights & Biases, Amazon SageMaker, Databricks
- Aynı Keras kodunu JAX, TensorFlow veya PyTorch üzerinde çalıştırabilirsin
- Katman, model ve metrik gibi özel bileşenleri herhangi bir framework'te kullanabilirsin
- Keras modelini yerel TensorFlow, JAX veya PyTorch eğitim döngüsünde eğitebilirsin
- • NeutralHacker News
Introducing Keras 2
“> Keras is so good that it is effectively cheating in machine learning, where even Tensorflow tutorials can be replaced with a single line of code. That's the way it "felt" to me when it was introduced in one of the lessons (then later used in a project) in the first term of the…”
- ↑ PositiveHacker News
Introducing Keras 2
“Personally, I find Keras better than tflearn. But you need to know the fundamentals on TF and NNs (RNNs,LSTMs, etc...). Keras makes it easier to build on those concepts with less programming. I've found TFLearn to be slightly complicated. Both Keras and tflearn make it simpler…”
Verified against README · Oct 30, 2026 · source
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