Software Alternatives & Reviews

TensorFlow Reviews

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Social recommendations and mentions

We have tracked the following product recommendations or mentions on Reddit and HackerNews. They can help you see what people think about TensorFlow and what they use it for.
  • Creating Image Frames from Videos for Deep Learning Models
    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
  • Need help with a Tensorflow function
    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
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    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
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. - Source: Reddit / 12 months ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    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
  • VAE won't learn color
    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
  • Machine learning with GOlang
    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

External sources with reviews and comparisons of TensorFlow

PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be used with either TensorFlow or PyTorch....
15 data science tools to consider using in 2021
Keras is a programming interface that enables data scientists to more easily access and use the TensorFlow machine learning platform. It's an open source deep learning API and framework written in Python that runs on top of TensorFlow and is now integrated into that platform. Keras previously supported multiple back ends but was tied exclusively to TensorFlow starting with its 2.4.0 release in June 2020.

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