HF RL Explorer

Task: Implement Layer-wise Learning Rates in TensorFlow

Task: Implement Layer-wise Learning Rates in TensorFlow: a task in Terminal-Lego-15k (Harbor dataset). Create a Python script that demonstrates how to set different learning rates for different layers in a TensorFlow/Keras model. This is a common technique used in transfer learning / fine-tuning…

The task

Create a Python script that demonstrates how to set different learning rates for different layers in a TensorFlow/Keras model. This is a common technique used in transfer learning / fine-tuning, where pre-trained layers should be updated slowly (low learning rate) while newly added layers should learn faster (higher…

Part of PrimeIntellect/Terminal-Lego-15k.