Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / about 2 months ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. - Source: Reddit / 9 months ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. - Source: Reddit / 10 months ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. - Source: Reddit / 12 months ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? - Source: Reddit / 12 months ago
I found the CVAE tutorial on tensorflow.org. I then repurposed it on new data however it is only reconstructing the outline in a nearly grayscale image, ignoring the colour, the loss is 14000. Please help... - Source: Reddit / almost 2 years ago
Yeah its pretty unofficial and unsupported. Honestly, I am not sure why they even include it on the tensorflow.org site. If you want to serve stuff via golang it's honestly better to just use cgo and wrap tflite. TF Lite C bindings are pretty stable and if you are using Go then you probably don't have CUDA support anyway. I have hacked together a really basic example https://derekg.github.io/tflite.html and... - Source: Reddit / almost 2 years ago
Do you know an article comparing TensorFlow to other products?
Suggest a link to a post with product alternatives.