DataBloom

How can I install TF 1.x with CUDA 11.x with GPU support (for RTX 3xxx series)? All tutorials are outdated today. Wanna run a Mask R-CNN. Even the one with TF 2.x support, doesnt work with CUDA 11.x, rather than with CUDA 10.x

Hi,

In deep rl algorithm like PPO, a continuous stochastic policy is represented by Normal Distribution. For this the recommended way of creating a Normal Distribution is to get the mean by passing the state through NN and then using a state independent layer to predict log_std. This layer which predicts log_std should be trainable using backprop just like biases. So how to create this layer in tensorflow 2.

Short question: Do apps work with a higher version of CUDA if they specified a lower version as requirement? Or should I exactly match the version?

Extra explanations: I want to use GPU in TF and Matlab. The first one says I need CUDA 11.2 and the second one mentions CUDA 10.1. Currently the latest available CUDA drivers are 11.6.1. Can I just install the latest version and hope they all work well?

I am trying to run a project which only supports tf 2.2, but I have CUDA 11.x which is not supported by TF 2.2 for GPU support. Is there a way to install CUDA 10.1 and 11.6 and switch between them?

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Edit: RTX 3xxx support CUDA 11.x. The repository (Mask R-CNN support TF 2.2, which works with CUDA 10.x for GPU support). I realise I cannot train with GPU…

Hi, is it valid to use pretrained text embeddings ?Ike Universal Sentence Encoder.

Also in the text they expect us to achieve 90 accuracy or higher in all the problems?

I’m thinking of making an Arduino based program where it captures audio from me or someone saying something or playing something on a musical instrument, and uses that to check similarities between a database of audio files I’ve created using TensorFlow. Is this possible with TensorFlow and Arduino? Thanks!