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Fixed dead links in Readme files #11

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Fixed dead links in Readme files #11

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4 changes: 2 additions & 2 deletions config/backends/README.md
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Expand Up @@ -8,7 +8,7 @@ weight: 1

# Backends

ND4J works atop so-called backends, or linear-algebra libraries, such as Native nd4j-native and nd4j-cuda-10.2 \(GPUs\), which you can select by pasting the right dependency into your project’s POM.xml file.
ND4J works atop so-called backends, or linear-algebra libraries, such as Native nd4j-native and nd4j-cuda-10.2 \(GPUs\), which you can select by pasting the right dependency into your project’s POM.xml file.

## ND4J backends for GPUs and CPUs

Expand Down Expand Up @@ -74,7 +74,7 @@ Check the NVIDIA guides for instructions on setting up CUDA on the NVIDIA [websi
### Nd4jBackend$NoAvailableBackendException

```markup
org.nd4j.linalg.factory.Nd4jBackend$NoAvailableBackendException: Please ensure that you have an nd4j backend on your classpath. Please see: https://deeplearning4j.konduit.ai/nd4j/backend
org.nd4j.linalg.factory.Nd4jBackend$NoAvailableBackendException: Please ensure that you have an nd4j backend on your classpath. Please see: https://deeplearning4j.konduit.ai/multi-project/explanation/configuration/backends#nd4jbackendusdnoavailablebackendexception
at org.nd4j.linalg.factory.Nd4jBackend.load(Nd4jBackend.java:221)
at org.nd4j.linalg.factory.Nd4j.initContext(Nd4j.java:5091)
... 2 more
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2 changes: 1 addition & 1 deletion getting-started/quickstart.md
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Expand Up @@ -222,7 +222,7 @@ To use the template:

Deeplearning4j is a framework that lets you pick and choose with everything available from the beginning. We're not Tensorflow \(a low-level numerical computing library with automatic differentiation\) or Pytorch. Deeplearning4j has several subprojects that make it easy-ish to build end-to-end applications.

If you'd like to deploy models to production, you might like our [model import from Keras](https://deeplearning4j.konduit.ai/keras-import/overview).
If you'd like to deploy models to production, you might like our [model import from Keras](https://deeplearning4j.konduit.ai/deeplearning4j/how-to-guides/keras-import).

Deeplearning4j has several submodules. These range from a visualization UI to distributed training on Spark. For an overview of these modules, please look at the [**Deeplearning4j examples on Github**](https://github.com/eclipse/deeplearning4j-examples).

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2 changes: 1 addition & 1 deletion getting-started/quickstart/README.md
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Expand Up @@ -222,7 +222,7 @@ To use the template:

Deeplearning4j is a framework that lets you pick and choose with everything available from the beginning. We're not Tensorflow \(a low-level numerical computing library with automatic differentiation\) or Pytorch. Deeplearning4j has several subprojects that make it easy-ish to build end-to-end applications.

If you'd like to deploy models to production, you might like our [model import from Keras](https://deeplearning4j.konduit.ai/keras-import/overview).
If you'd like to deploy models to production, you might like our [model import from Keras](https://deeplearning4j.konduit.ai/deeplearning4j/how-to-guides/keras-import).

Deeplearning4j has several submodules. These range from a visualization UI to distributed training on Spark. For an overview of these modules, please look at the [**Deeplearning4j examples on Github**](https://github.com/eclipse/deeplearning4j-examples).

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