Keras 2.4.3-fosscuda-2020bKeras is a minimalist, highly modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Accessing Keras 2.4.3-fosscuda-2020b
To load the module for Keras 2.4.3-fosscuda-2020b please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load Keras/2.4.3-fosscuda-2020b
BEAR Apps Version
EL8-haswell (GPUs: NVIDIA P100)
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
- Keras 2.4.3
- Keras_Applications 1.0.8
- Keras_Preprocessing 1.1.2
For more information visit the Keras website.
This version of Keras has a direct dependency on: fosscuda/2020b h5py/3.1.0-fosscuda-2020b Python/3.8.6-GCCcore-10.2.0 PyYAML/5.3.1-GCCcore-10.2.0 TensorFlow/2.4.1-fosscuda-2020b Theano/1.1.2-fosscuda-2020b-PyMC
Last modified on 31st August 2021