diff --git a/cifar_test.ipynb b/cifar_test.ipynb
index 638b36b..35d747b 100644
--- a/cifar_test.ipynb
+++ b/cifar_test.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 308,
+   "execution_count": 1,
    "id": "d6cb560a-707c-4c1e-b50f-2b9c8037a3c7",
    "metadata": {
     "editable": true,
@@ -30,7 +30,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 309,
+   "execution_count": 2,
    "id": "4065302d-862f-4639-99d7-e396d055434c",
    "metadata": {
     "editable": true,
@@ -49,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 310,
+   "execution_count": 3,
    "id": "ffe48fc6-0f57-48a0-b5e9-aa68cbc8edf1",
    "metadata": {
     "editable": true,
@@ -69,7 +69,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 311,
+   "execution_count": 4,
    "id": "51b90664-e470-4c9a-884d-374a2ece61b2",
    "metadata": {
     "editable": true,
@@ -85,7 +85,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 312,
+   "execution_count": 5,
    "id": "e98f3f60-e764-470b-ada1-d562a48e4813",
    "metadata": {},
    "outputs": [
@@ -103,7 +103,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 313,
+   "execution_count": 6,
    "id": "33501c0f-6d78-43e9-b2ce-adbe40b6d95a",
    "metadata": {
     "editable": true,
@@ -135,7 +135,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 314,
+   "execution_count": 7,
    "id": "08149024-e441-4786-a956-a068431932ca",
    "metadata": {
     "editable": true,
@@ -168,7 +168,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 456,
+   "execution_count": 8,
    "id": "aedf601a-9084-4047-98e8-481f4d41a2d9",
    "metadata": {
     "editable": true,
@@ -195,7 +195,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 457,
+   "execution_count": 9,
    "id": "5ee865c3-2af4-487f-a184-1291f99839b1",
    "metadata": {
     "editable": true,
@@ -219,7 +219,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 458,
+   "execution_count": 10,
    "id": "b4310933-d850-4128-a2dd-27d88c004846",
    "metadata": {},
    "outputs": [
@@ -252,7 +252,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 466,
+   "execution_count": 31,
    "id": "08143a53-12a1-4896-a4b2-166dedf0e021",
    "metadata": {
     "editable": true,
@@ -266,8 +266,8 @@
     "class TestModel(Model):\n",
     "\tdef __init__(self, name: str, work_dir: str = '.'):\n",
     "\t\tsuper().__init__(name, work_dir)\n",
-    "#\t\tself.unit1 = Entity((3072, 333), EntityParams(do_gaussian_visible=True, do_gaussian_hidden=True), TrainingParams(learning_rate=0.00001, momentum=0.9, num_epochs=10000, mini_batch_size=100))\n",
-    "\t\tself.unit1 = Entity((3072, 333), EntityParams(do_gaussian_visible=True, do_gaussian_hidden=False), TrainingParams(learning_rate=0.00001, momentum=0.9, num_epochs=10000, mini_batch_size=100))\n",
+    "#\t\tself.unit1 = Entity((3072, 64), EntityParams(do_gaussian_visible=True, do_gaussian_hidden=True), TrainingParams(learning_rate=0.0001, momentum=0.9, num_epochs=10000, mini_batch_size=100))\n",
+    "\t\tself.unit1 = Entity((3072, 128), EntityParams(do_gaussian_visible=True, do_gaussian_hidden=False), TrainingParams(learning_rate=0.0001, momentum=0.9, num_epochs=10000, mini_batch_size=100))\n",
     "\n",
     "\tdef forward(self, x: Mat):\n",
     "\t\tx = self.unit1.forward(x)\n",
@@ -280,7 +280,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 467,
+   "execution_count": 39,
    "id": "6b3be9f6-38e1-442d-a7bd-1f3c164ec8d4",
    "metadata": {
     "editable": true,
@@ -294,42 +294,43 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "results/cifar_test-0-state.npz loaded successfully!\n",
       "-------------------------------------------\n",
       "progress              : 0%\n",
-      "err_rms              : 0.7598373690272209\n",
+      "err_rms              : 0.005186962638274846\n",
       "-------------------------------------------\n",
       "progress              : 10%\n",
-      "err_rms              : 0.2550089071186767\n",
+      "err_rms              : 0.00514690009923656\n",
       "-------------------------------------------\n",
       "progress              : 20%\n",
-      "err_rms              : 0.23073051327845565\n",
+      "err_rms              : 0.0051222217354732515\n",
       "-------------------------------------------\n",
       "progress              : 30%\n",
-      "err_rms              : 0.20837876799476085\n",
+      "err_rms              : 0.005093454236488494\n",
       "-------------------------------------------\n",
       "progress              : 40%\n",
-      "err_rms              : 0.18892075853670467\n",
+      "err_rms              : 0.005067191389011663\n",
       "-------------------------------------------\n",
       "progress              : 50%\n",
-      "err_rms              : 0.1714640103265428\n",
+      "err_rms              : 0.005047792124625826\n",
       "-------------------------------------------\n",
       "progress              : 60%\n",
-      "err_rms              : 0.1555011448082522\n",
+      "err_rms              : 0.005026778840396532\n",
       "-------------------------------------------\n",
       "progress              : 70%\n",
-      "err_rms              : 0.14181307545217142\n",
+      "err_rms              : 0.005003694589758911\n",
       "-------------------------------------------\n",
       "progress              : 80%\n",
-      "err_rms              : 0.1351610598648988\n",
+      "err_rms              : 0.004989756589453603\n",
       "-------------------------------------------\n",
       "progress              : 90%\n",
-      "err_rms              : 0.15933470100682925\n",
+      "err_rms              : 0.0049668091946095195\n",
       "-------------------------------------------\n",
       "progress              : 100%\n",
-      "err_rms              : 0.22653114964742918\n",
+      "err_rms              : 0.00494211215269352\n",
       "-------------------------------------------\n",
       "progress              : 100%\n",
-      "err_rms_total              : 0.22644332971112477\n",
+      "err_rms_total              : 0.004942161723053705\n",
       "results/cifar_test-0-state.npz saved successfully!\n"
      ]
     }
@@ -346,7 +347,7 @@
     "model.init(0.01)\n",
     "\n",
     "# load state\n",
-    "#model.load()\n",
+    "model.load()\n",
     "\n",
     "# Train\n",
     "model.train(train_images)\n",
@@ -356,13 +357,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 463,
+   "execution_count": 40,
    "id": "d036b106-77a3-4993-bc2a-5fb164b8ec46",
    "metadata": {},
    "outputs": [
     {
      "data": {
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       "text/plain": [
        "<Figure size 3000x3000 with 64 Axes>"
       ]
@@ -392,7 +393,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
+   "execution_count": 14,
    "id": "00f7f113-9efa-4c7b-8cb4-eeefb5cb797f",
    "metadata": {
     "editable": true,
@@ -408,7 +409,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 172,
+   "execution_count": 15,
    "id": "da54ec00-8db1-4dd9-ac4f-755f2886d72b",
    "metadata": {
     "editable": true,
@@ -423,15 +424,15 @@
      "output_type": "stream",
      "text": [
       "Training epoch 1000...\n",
-      "0.01986007065482907\n",
+      "0.06368791149831578\n",
       "Training epoch 2000...\n",
-      "0.019140598876222572\n",
+      "0.06266496034734342\n",
       "Training epoch 3000...\n",
-      "0.01836005860460779\n",
+      "0.06171676962102851\n",
       "Training epoch 4000...\n",
-      "0.016391635241554094\n",
+      "0.06082608294742736\n",
       "Training epoch 5000...\n",
-      "0.016382646045662693\n",
+      "0.059970004804344425\n",
       "results/cifar_test-0-state.npz saved successfully!\n"
      ]
     }
@@ -440,10 +441,10 @@
     "optimizer = Optimizer(model.unit1)\n",
     "report_interval = 1000\n",
     "next_ep = report_interval\n",
+    "optimizer.zero_grad()\n",
     "for epoch in range(6000):\n",
     "    running_loss = 0.0\n",
     "\n",
-    "    optimizer.zero_grad()\n",
     "    optimizer.step(train_images)\n",
     "\n",
     "    if epoch >= next_ep:\n",