Migrate all project files from repo root into prj/<name>/

Moved all 40 existing projects' .prj/.dat files (Layer weights, training
batches, legacy .weights.dat/.test.dat artifacts) from the flat repo root
into their own prj/<name>/ folder via git mv, matching the new path
convention from the previous commit. Filenames are unchanged, only the
directory. Non-project files at root (CLAUDE.md, Makefile, batch/moby
text corpora, the stray Layer.0.training.mat) were left in place.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016K8Gu7Qejd11JbdiHZqYAs

prj/xor/xor.Layer.0.bh.dat

@@ -0,0 +1,3 @@
+ARMA_MAT_TXT_FN008
+1 16
+   2.5756167023216010e+00   2.6819637912025902e+00  -9.8239336416702927e-01   8.1285395896088214e-02  -1.0716859082871657e+00  -4.1023012845342216e-01   1.0211598419786334e+00   2.0860159705173351e+00   1.2956901636654876e+00  -9.6935983317420107e-02  -1.0141105295168975e+00  -1.9113266703931227e+00  -5.6180881351440282e-02   1.1822142939773772e+00  -8.5347521796623360e-01  -1.5703712038841842e+00

prj/xor/xor.Layer.0.bv.dat

@@ -0,0 +1,3 @@
+ARMA_MAT_TXT_FN008
+1 3
+   1.9896516219541648e-02  -1.9548541354643359e-01  -3.3680326971875518e-01

prj/xor/xor.Layer.0.w.dat

@@ -0,0 +1,5 @@
+ARMA_MAT_TXT_FN008
+3 16
+  -2.5375087773215075e+00  -3.6442675217534042e+00  -8.7453611531184605e-01   4.3923873712924415e+00   1.9841528754857598e+00  -4.6349346581996658e+00   3.2808757016034766e+00  -5.0446631818002148e+00  -2.9342494407808535e+00   1.5625648353754111e+00   1.6464662930064891e-01   2.8584041063378036e+00   2.1747747718938397e+00  -2.9680548613773765e+00   6.0921336400039350e-01  -8.9239051215198140e-01
+  -2.8105951726537390e+00  -3.7032536414276236e+00  -1.1325777211946775e+00  -2.2946592035526834e+00   1.9568295068351684e+00   1.8558779987965752e+00  -3.3422375203945589e+00  -1.1905428402365161e+00  -2.4612820950421641e+00  -4.3566984391835506e+00   4.0191764090532276e+00   2.6485195313128647e+00   1.3335865646119305e+00   3.2494751234030028e+00  -2.2402184509456564e+00   3.9098021681217414e+00
+  -4.7711303974823966e+00  -4.1711650288113615e+00   5.4643077979105907e+00  -1.1384618521498742e+00   1.9418857860288683e+00   2.3211056272128161e+00  -1.0794107894234946e+00  -1.0613326070420315e-01  -6.8372253992202259e-02   1.7394100131833494e+00  -1.1264611185843789e+00  -3.0008251702794082e+00  -5.2910449474206604e+00  -1.6854918308846234e+00   3.8605175222978492e+00   1.0284111280258419e+00

prj/xor/xor.prj

@@ -0,0 +1,35 @@
+{
+	"stack" : 
+	{
+		"layers" : 
+		[
+			{
+				"id" : 0,
+				"name" : "Layer",
+				"numContext" : 0,
+				"numHidden" : 16,
+				"numVisibleX" : 3,
+				"numVisibleY" : 1,
+				"rbm" : 
+				{
+					"params" : 
+					{
+						"doRaoBlackwell" : 1,
+						"doSampleBatch" : 0,
+						"gibbsDoSampleHidden" : 0,
+						"gibbsDoSampleVisible" : 0,
+						"learningRate" : 0.10000000000000001,
+						"miniBatchSize" : 100,
+						"momentum" : 0.5,
+						"numEpochs" : 10000,
+						"numGibbs" : 3,
+						"weightDecay" : 0.0
+					}
+				}
+			}
+		],
+		"name" : "xor",
+		"type" : 1,
+		"type_string" : "Deep"
+	}
+}

prj/xor/xor.training.dat

@@ -0,0 +1,6 @@
+ARMA_MAT_TXT_FN008
+4 3
+   0.0000000000000000e+00   0.0000000000000000e+00   0.0000000000000000e+00
+   1.0000000000000000e+00   0.0000000000000000e+00   1.0000000000000000e+00
+   1.0000000000000000e+00   1.0000000000000000e+00   0.0000000000000000e+00
+   0.0000000000000000e+00   1.0000000000000000e+00   1.0000000000000000e+00