Skuuudle gives you the confidence to make winning pricing decisions.
Skuuudle are a superb company to deal with. Whoever I have dealt with has always taken the time to understand my requirements in great detail. The QC process and all communications from various points of contact within the company are first class in terms of accuracy and guidance. I have used the services of Skuuudle for 6+ years now and would be happy to recommend. Matt Boudin who has been my recent point of contact has continued with excellent advice and customer service. The data provided my Skuuudle services is accurate, on time and incredibly reliable.
Really professional and helpful team at Skuuudle. First class service and cost effective.
Great service from Skuuudle, the report is always accurate and the team are really helpful. Great o review products in bulk if infrequent, which is currently what we are using them for.
Based on our record, TensorFlow should be more popular than Skuuudle. 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.
You can look at tools like Skuuudle and PriceShape if you really want to get into pricing with clients. Source: about 1 year ago
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: almost 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
Kompyte - Track & analyze competitors in real time.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Price2Spy - Price2Spy is a price monitoring, pricing analytics, and repricing tool, meant to help eCommerce professionals keep an eye on their competitors or retailers.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Competera - Competera is a price tracking tool for performance-oriented eCommerce retail and brands of all sizes worldwide.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.