Better syntax for getting/setting fields when defining JVM classes.

6 files changed, 27 insertions, 8 deletions

diff --git a/documentation/bookmark/artificial_intelligence/machine_learning.md b/documentation/bookmark/artificial_intelligence/machine_learning.md
index a998c7aaa..0487c5626 100644
--- a/documentation/bookmark/artificial_intelligence/machine_learning.md
+++ b/documentation/bookmark/artificial_intelligence/machine_learning.md
@@ -49,14 +49,6 @@
 0. https://deeplearning4j.org/
 0. [Deep(er) learning](http://www.jneurosci.org/content/early/2018/07/13/JNEUROSCI.0153-18.2018?versioned=true)
 
-# Neural network
-
-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/
-
 # Tensor
 
 0. http://nlp.seas.harvard.edu/NamedTensor.html
diff --git a/documentation/bookmark/artificial_intelligence/machine_learning/deep/geometric.md b/documentation/bookmark/artificial_intelligence/machine_learning/deep/geometric.md
new file mode 100644
index 000000000..93de8ff17
--- /dev/null
+++ b/documentation/bookmark/artificial_intelligence/machine_learning/deep/geometric.md
@@ -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
new file mode 100644
index 000000000..1d1db6ddb
--- /dev/null
+++ b/documentation/bookmark/artificial_intelligence/machine_learning/gradient.md
@@ -0,0 +1,4 @@
+# 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
new file mode 100644
index 000000000..5465ecfe2
--- /dev/null
+++ b/documentation/bookmark/artificial_intelligence/machine_learning/neural_network.md
@@ -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
new file mode 100644
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
new file mode 100644
index 000000000..8ded7ebf1
--- /dev/null
+++ 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/)
+