jacobian

commit 8bd01eb2e262e220cea92e31c47d229374506461
parent 323a3c0100d2a1acb2098db6fbd70a32b68f2da5
Author: David Freifeld <freifeld.david@gmail.com>
Date:   Fri, 31 Jul 2020 19:08:29 -0700

Quick readme update

Diffstat:
M
readme.md
 | 
4
++--

1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/readme.md b/readme.md
@@ -14,7 +14,7 @@ Jacobian is a work-in-progress machine learning library written in C++ designed 
 
 One of the tradeoffs of Jacobian is that as of now it doesn't train nearly as close to perfection as other available libraries and doesn't maximize accuracy as much (with the benefit being the added speed. Here's a graph of Jacobian's model metrics over epochs on a simple task (banknote dataset with batch size 16) as compared to other libraries.
 
-![Loss vs. Epochs](./pictures/metrics.png)
+![Loss vs. Epochs](./pictures/metrics_updated.png)
 
 Here's a runtime comparison for a simple example task (same as before) between Jacobian and some other popular ML libraries:
 
@@ -33,7 +33,7 @@ net.add_layer(4, "linear")
 net.add_layer(10, "lecun_tanh")
 net.add_layer(1, "linear")
 net.initialize()
-for i in range(50):
+for i in range(50):sr
   net.train()
 ```