CODEWITHSUNDEEP
windowstensorflowkerasdeep-learning
Prachi
Prachi

Reputation: 141

Keras on a GPU with less than 3.0 computing capability?

I am working on a GPU server from my college with the computing capability less than 3.0, Windows 7 Professional, 64-bit operating system and 48GB RAM. I have tried to install tensorflow earlier but then I got to know that my GPU cannot support it. I now want to work on keras but as tensorflow is not there so will it work or not as I am also not able to import it?

I have to do video processing and have to work on big video datasets for Dynamic Sign Language Recognition. Can anyone suggest me what I can do to get going in the field of Deep Learning with such GPU server? Or if I want to work on CPU only, then will there be any problem in this field of video processing?

I also have an HP Probook 440 G4 Laptop with Windows 10 Pro so is it better than the GPU server I have or not?

I am totally new to this field and cannot find a way to work properly in it. Your opinions are needed right now!

The 'dxdiag' information for my laptop is shown here and here_1.

Thanks in advance!

Upvotes: 1

Views: 1302

Answers (1)

J.Panek
J.Panek

Reputation: 425

For Keras to work you need either Tensorflow or Theano. Your Laptop seems to have a GeForce 930M GPU. This card has a compute capability or 5.0 according to the NVIDIA documentation (https://developer.nvidia.com/cuda-gpus). So you are better off with your Laptop if my research was right.

I guess you will use CNN with your video processing and therefore I would advise you to use a GPU. You can run your code also on a CPU but training will be much slower since GPUs are made for parallel computing and CPUs are not (the big matrix multiplication profit a lot from the parallel computing).

Maybe you could try a cloud computing provider if you think training is too slow on your laptop

Upvotes: 2

Related Questions