diff --git a/cifar_test_sub_image.ipynb b/cifar_test_sub_image.ipynb
index b25ed3f..65d4245 100644
--- a/cifar_test_sub_image.ipynb
+++ b/cifar_test_sub_image.ipynb
@@ -103,7 +103,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 43,
    "id": "aedf601a-9084-4047-98e8-481f4d41a2d9",
    "metadata": {
     "editable": true,
@@ -122,7 +122,7 @@
     }
    ],
    "source": [
-    "N = 1000\n",
+    "N = 500\n",
     "n_side = 10\n",
     "N_VIS = 3072\n",
     "n_sub = 8\n",
@@ -144,7 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 44,
    "id": "5ee865c3-2af4-487f-a184-1291f99839b1",
    "metadata": {
     "editable": true,
@@ -158,9 +158,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "train_images.shape:(1000, 3072)\n",
-      "(16000, 3, 8, 8)\n",
-      "(16000, 192)\n"
+      "train_images.shape:(500, 3072)\n",
+      "(8000, 3, 8, 8)\n",
+      "(8000, 192)\n"
      ]
     }
    ],
@@ -182,13 +182,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 45,
    "id": "b4310933-d850-4128-a2dd-27d88c004846",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 3000x3000 with 100 Axes>"
       ]
@@ -214,7 +214,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 92,
    "id": "08143a53-12a1-4896-a4b2-166dedf0e021",
    "metadata": {
     "editable": true,
@@ -229,7 +229,7 @@
     "    def __init__(self, name: str, work_dir: str = '.'):\n",
     "        super().__init__(name, work_dir)\n",
     "        #self.unit1 = Entity((3072, 125), EntityParams(do_gaussian_visible=True, do_gaussian_hidden=True), TrainingParams(learning_rate=0.0001, momentum=0.9, num_epochs=1000, mini_batch_size=0, weight_decay=0.0, l2_lambda=0.0))\n",
-    "        self.unit1 = Entity((3*n_sub*n_sub, 250), EntityParams(do_gaussian_visible=True, do_gaussian_hidden=False), TrainingParams(learning_rate=0.001, momentum=0.9, num_epochs=1000, mini_batch_size=1000, weight_decay=0.0, l2_lambda=0.01))\n",
+    "        self.unit1 = Entity((3*n_sub*n_sub, 125), EntityParams(do_gaussian_visible=True, do_gaussian_hidden=False), TrainingParams(learning_rate=0.0005, momentum=0.9, num_epochs=1000, mini_batch_size=1000, weight_decay=0.0, l1_lambda=0.02))\n",
     "    \n",
     "    def forward(self, x: Mat):\n",
     "        x = self.unit1.forward(x)\n",
@@ -242,7 +242,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": null,
    "id": "6b3be9f6-38e1-442d-a7bd-1f3c164ec8d4",
    "metadata": {
     "editable": true,
@@ -258,54 +258,45 @@
      "text": [
       "results/cifar_test-0-state.npz loaded successfully!\n",
       "-------------------------------------------\n",
-      "Entity-192x250: progress              : 0%\n",
-      "Entity-192x250: err_rms              : 0.2552476571996566\n",
-      "Entity-192x250: l2_norm              : 0.0016125501038316927\n",
+      "Entity-192x125: progress              : 0%\n",
+      "Entity-192x125: err_rms              : 0.03761218365025857\n",
+      "Entity-192x125: l2_norm              : 1.0957686266619098\n",
       "-------------------------------------------\n",
-      "Entity-192x250: progress              : 10%\n",
-      "Entity-192x250: err_rms              : 0.1516525262493534\n",
-      "Entity-192x250: l2_norm              : 0.009351603385287548\n",
+      "Entity-192x125: progress              : 10%\n",
+      "Entity-192x125: err_rms              : 0.03761839952082784\n",
+      "Entity-192x125: l2_norm              : 1.0962939908116305\n",
       "-------------------------------------------\n",
-      "Entity-192x250: progress              : 20%\n",
-      "Entity-192x250: err_rms              : 0.10485132357821063\n",
-      "Entity-192x250: l2_norm              : 0.020957326637095288\n",
+      "Entity-192x125: progress              : 20%\n",
+      "Entity-192x125: err_rms              : 0.03762991896149395\n",
+      "Entity-192x125: l2_norm              : 1.096556785156212\n",
       "-------------------------------------------\n",
-      "Entity-192x250: progress              : 30%\n",
-      "Entity-192x250: err_rms              : 0.10399743210498165\n",
-      "Entity-192x250: l2_norm              : 0.0210767858930078\n",
+      "Entity-192x125: progress              : 30%\n",
+      "Entity-192x125: err_rms              : 0.03764049099242276\n",
+      "Entity-192x125: l2_norm              : 1.0969526536153258\n",
       "-------------------------------------------\n",
-      "Entity-192x250: progress              : 40%\n",
-      "Entity-192x250: err_rms              : 0.10186176305452195\n",
-      "Entity-192x250: l2_norm              : 0.021742916855928853\n",
+      "Entity-192x125: progress              : 40%\n",
+      "Entity-192x125: err_rms              : 0.037645159488575726\n",
+      "Entity-192x125: l2_norm              : 1.0974840834862103\n",
       "-------------------------------------------\n",
-      "Entity-192x250: progress              : 50%\n",
-      "Entity-192x250: err_rms              : 0.09622639640868645\n",
-      "Entity-192x250: l2_norm              : 0.023988645922319817\n",
+      "Entity-192x125: progress              : 50%\n",
+      "Entity-192x125: err_rms              : 0.037652676377897855\n",
+      "Entity-192x125: l2_norm              : 1.0980245455361328\n",
       "-------------------------------------------\n",
-      "Entity-192x250: progress              : 60%\n",
-      "Entity-192x250: err_rms              : 0.0851732306762205\n",
-      "Entity-192x250: l2_norm              : 0.029990712755548935\n",
+      "Entity-192x125: progress              : 60%\n",
+      "Entity-192x125: err_rms              : 0.03766749328656913\n",
+      "Entity-192x125: l2_norm              : 1.0983420087577682\n",
       "-------------------------------------------\n",
-      "Entity-192x250: progress              : 70%\n",
-      "Entity-192x250: err_rms              : 0.07683322558262161\n",
-      "Entity-192x250: l2_norm              : 0.03824479547441683\n",
+      "Entity-192x125: progress              : 70%\n",
+      "Entity-192x125: err_rms              : 0.03767622337534497\n",
+      "Entity-192x125: l2_norm              : 1.0987286548378843\n",
       "-------------------------------------------\n",
-      "Entity-192x250: progress              : 80%\n",
-      "Entity-192x250: err_rms              : 0.0721457869574031\n",
-      "Entity-192x250: l2_norm              : 0.04355526454789739\n",
+      "Entity-192x125: progress              : 80%\n",
+      "Entity-192x125: err_rms              : 0.03768853411375088\n",
+      "Entity-192x125: l2_norm              : 1.0992280092439928\n",
       "-------------------------------------------\n",
-      "Entity-192x250: progress              : 90%\n",
-      "Entity-192x250: err_rms              : 0.06557113470862642\n",
-      "Entity-192x250: l2_norm              : 0.04914726294420429\n",
-      "-------------------------------------------\n",
-      "Entity-192x250: progress              : 100%\n",
-      "Entity-192x250: err_rms              : 0.057860262953185186\n",
-      "Entity-192x250: l2_norm              : 0.05734459775710474\n",
-      "-------------------------------------------\n",
-      "Entity-192x250: progress              : 100%\n",
-      "Entity-192x250: err_rms_total              : 0.05751380634297653\n",
-      "Entity-192x250: l2_norm              : 0.05780679657692539\n",
-      "results/cifar_test-0-state.npz saved successfully!\n"
+      "Entity-192x125: progress              : 90%\n",
+      "Entity-192x125: err_rms              : 0.03769885558969943\n",
+      "Entity-192x125: l2_norm              : 1.099600171519957\n"
      ]
     }
    ],
@@ -333,13 +324,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 87,
    "id": "d036b106-77a3-4993-bc2a-5fb164b8ec46",
    "metadata": {},
    "outputs": [
     {
      "data": {
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       "text/plain": [
        "<Figure size 3000x3000 with 100 Axes>"
       ]
@@ -369,7 +360,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 88,
    "id": "9adce292-cae6-455c-9409-c57ae71a36d5",
    "metadata": {
     "scrolled": true
@@ -379,12 +370,12 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "(3, 8, 8, 1000)\n"
+      "(3, 8, 8, 125)\n"
      ]
     },
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 3000x3000 with 100 Axes>"
       ]
@@ -431,6 +422,14 @@
    "metadata": {},
    "outputs": [],
    "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c1a67046-17e4-4924-8067-da23481eb6d3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {