- Published on August 7, 2018
TensorFlow Vs Caffe: Which Machine Learning Framework Should You Opt For?
- By Richa Bhatia
When it comes to TensorFlow vs Caffe, beginners usually lean towards TensorFlow because of its programmatic approach for creation of networks. TensorFlow has surged ahead in popularity largely because of the large adoption by the academic community. Caffe, on the other hand, has been largely panned for its poor documentation and convoluted code. In this article, we cite the pros and cons of both the frameworks and see how they stack up against each other for the beginners.
How TensorFlow Is Rivalling Other Deep Learning Frameworks
Firstly, TensorFlow uses a programmatic approach to creating networks. According to one user, programmatic structures like 'for loop' are used to develop deeper networks or develop recurrent neural network (RNN) in just a few lines of code.
This means that dev
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Richa Bhatia
Richa Bhatia is a seasoned journalist with six-years experience in reportage and news coverage and has had stints at Times of India and The Indian Express. She is an avid reader, mum to a feisty two-year-old and loves writing about the next-gen technology that is shaping our world.
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