A great tool for developing your own DL flows
September 30, 2022
A great tool for developing your own DL flows
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with Pytorch
Pytorch is an awesome way of coding Deep Learning and Reinforcement Learning Algorithms with great ease. Since it is mostly pythonic, converting your derived equations/algorithms and using your favourite optimizers to test is so great. Further, it has great extensions to use like weights and biases where you can see how weights change in your neural network. It is an ideal tool for experimentation in Deep learning domain.
- Provides Benchmark datasets to test your custom algorithm
- Provides with a lot of pre-coded neural net components to use for your flow
- Gives a framework to write really abstract code.
- Since pythonic if developing an app with pytorch as backend the response can be substantially slow and support is less compares to TensorFlow
- The ability to use it to replicate historic algorithms
- Derive and test new DL flows
- It has a positive aspect as the ease of development results in publishing more papers for the community
Do you think Pytorch delivers good value for the price?
Yes
Are you happy with Pytorch's feature set?
Yes
Did Pytorch live up to sales and marketing promises?
Yes
Did implementation of Pytorch go as expected?
Yes
Would you buy Pytorch again?
Yes