Based on our record, TensorFlow should be more popular than thinkific. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I recommend using VPNs for OSINT to increase your privacy, project your presence, and to increase your anonymity. Unfortunately, the platform my courses are hosted on, thinkific.com, may restrict access to their site when you use a VPN. I have no control over this but I think we both can understand why they might do this as our reasons for using VPNs are in conflict with their reasons for blocking some of them. Source: about 1 year ago
Hey I think a course is great idea, she has tons of experience that’s in demand by young clinicians. I have experience in course creations (thinkific) let me know if I can help, good luck. Source: about 1 year ago
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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 / over 1 year 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: almost 2 years 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: about 2 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years 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: about 2 years ago
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