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authorEduardo Julian2022-06-29 00:34:27 -0400
committerEduardo Julian2022-06-29 00:34:27 -0400
commit29bbd8a2cd4deb9038f01c16d54ffa937917cfaa (patch)
tree54418b3bb4fad71bf10167f7f6dc51771142cd36 /documentation/bookmark/artificial_intelligence/machine_learning
parent149515fd173947dcff20558fca077fbd16dc9b6c (diff)
Better syntax for getting/setting fields when defining JVM classes.
Diffstat (limited to 'documentation/bookmark/artificial_intelligence/machine_learning')
-rw-r--r--documentation/bookmark/artificial_intelligence/machine_learning/deep/geometric.md4
-rw-r--r--documentation/bookmark/artificial_intelligence/machine_learning/gradient.md4
-rw-r--r--documentation/bookmark/artificial_intelligence/machine_learning/neural_network.md10
-rw-r--r--documentation/bookmark/artificial_intelligence/machine_learning/neural_network/graph.md5
-rw-r--r--documentation/bookmark/artificial_intelligence/machine_learning/probabilistic_soft_logic.md4
5 files changed, 27 insertions, 0 deletions
diff --git a/documentation/bookmark/artificial_intelligence/machine_learning/deep/geometric.md b/documentation/bookmark/artificial_intelligence/machine_learning/deep/geometric.md
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@@ -0,0 +1,4 @@
+# Reference
+
+0. [Geometric Deep Learning](https://a-j.gitbook.io/geometric-deep-learning/)
+
diff --git a/documentation/bookmark/artificial_intelligence/machine_learning/gradient.md b/documentation/bookmark/artificial_intelligence/machine_learning/gradient.md
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+++ b/documentation/bookmark/artificial_intelligence/machine_learning/gradient.md
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+# Reference
+
+0. [Gradients without Backpropagation](https://arxiv.org/abs/2202.08587)
+
diff --git a/documentation/bookmark/artificial_intelligence/machine_learning/neural_network.md b/documentation/bookmark/artificial_intelligence/machine_learning/neural_network.md
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@@ -0,0 +1,10 @@
+# Reference
+
+0. []()
+0. [Softmax Activation Function: Everything You Need to Know](https://www.pinecone.io/learn/softmax-activation/)
+0. https://github.com/BrainJS/brain.js
+0. https://blog.jle.im/entry/practical-dependent-types-in-haskell-1.html
+0. https://matloff.wordpress.com/2018/06/20/neural-networks-are-essentially-polynomial-regression/
+0. https://www.quantamagazine.org/foundations-built-for-a-general-theory-of-neural-networks-20190131#AI
+0. https://rkevingibson.github.io/blog/neural-networks-as-ordinary-differential-equations/
+
diff --git a/documentation/bookmark/artificial_intelligence/machine_learning/neural_network/graph.md b/documentation/bookmark/artificial_intelligence/machine_learning/neural_network/graph.md
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index 000000000..56aacd71b
--- /dev/null
+++ b/documentation/bookmark/artificial_intelligence/machine_learning/neural_network/graph.md
@@ -0,0 +1,5 @@
+# Reference
+
+0. []()
+0. [How I Learned to Stop Worrying and Love Graphs: Why Machine Learning on Graphs could be the future of AI](https://www.appliedexploration.com/p/graph-neural-networks-future-of-ai)
+
diff --git a/documentation/bookmark/artificial_intelligence/machine_learning/probabilistic_soft_logic.md b/documentation/bookmark/artificial_intelligence/machine_learning/probabilistic_soft_logic.md
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+++ b/documentation/bookmark/artificial_intelligence/machine_learning/probabilistic_soft_logic.md
@@ -0,0 +1,4 @@
+# Reference
+
+1. [Probabilistic soft logic (PSL)](https://psl.linqs.org/)
+