From aaa922fc4dee537c54e2594b4835b5a3425c0426 Mon Sep 17 00:00:00 2001
From: Miguel <m.i@gmx.at>
Date: Thu, 21 Mar 2019 13:39:20 +0100
Subject: cv and some stuff about neuronets

---
 00_blog/00040_Haskell/00220_Neural-Networks/index.md | 15 +++++++++++++--
 1 file changed, 13 insertions(+), 2 deletions(-)

(limited to '00_blog/00040_Haskell')

diff --git a/00_blog/00040_Haskell/00220_Neural-Networks/index.md b/00_blog/00040_Haskell/00220_Neural-Networks/index.md
index f075430..ee62d09 100644
--- a/00_blog/00040_Haskell/00220_Neural-Networks/index.md
+++ b/00_blog/00040_Haskell/00220_Neural-Networks/index.md
@@ -9,12 +9,23 @@ WORK IN PROGRESS
 * recurrent neural networks
 * cost / loss / objective function
 * quadratic cost function / mean squared error
-* gradient descent
+* gradient descent 
 * gradient (vector of partial derivatives)
-* Stochastic gradient descent 
+* stochastic gradient descent 
+* on-line / incremental learning
+* deep neural networks
+* mini-batches
+* backpropagation (4 funamental equations)
+* weighted input
+* required assumptions about the cost function
+* hadamard / schur product
+
+
+* saturated neuron
 
 ## Ref
 
 * [1] <http://neuralnetworksanddeeplearning.com/>
 * [2] <http://www.deeplearningbook.org/>
 * [3] <https://medium.com/tebs-lab/how-to-classify-mnist-digits-with-different-neural-network-architectures-39c75a0f03e3>
+* [4] <http://yann.lecun.com/exdb/mnist/>
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