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Learn MorePros of ConvNetJS
Pros of TensorFlow
Pros of ConvNetJS
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Pros of TensorFlow
- High Performance32
- Connect Research and Production19
- Deep Flexibility16
- Auto-Differentiation12
- True Portability11
- Easy to use6
- High level abstraction5
- Powerful5
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Cons of ConvNetJS
Cons of TensorFlow
Cons of ConvNetJS
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Cons of TensorFlow
- Hard9
- Hard to debug6
- Documentation not very helpful2
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What is ConvNetJS?
It is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat.
What is TensorFlow?
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
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What companies use ConvNetJS?
What companies use TensorFlow?
What companies use ConvNetJS?
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What companies use TensorFlow?
See which teams inside your own company are using ConvNetJS or TensorFlow.
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What tools integrate with ConvNetJS?
What tools integrate with TensorFlow?
What tools integrate with ConvNetJS?
What tools integrate with TensorFlow?
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