diff --git a/GraphvizbasedVisualition.ipynb b/GraphvizbasedVisualition.ipynb
new file mode 100644
index 0000000..979ae06
--- /dev/null
+++ b/GraphvizbasedVisualition.ipynb
@@ -0,0 +1,186 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "27dedb17",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/svg+xml": [
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 2,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "import graphviz # doctest: +NO_EXE\n",
+ "#dot = graphviz.Digraph(comment='The Round Table')\n",
+ "dot = graphviz.Digraph('round-table', comment='The Round Table') \n",
+ "dot #doctest: +ELLIPSIS"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "44a6c0c1",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dot.node('A', 'DFF') # doctest: +NO_EXE\n",
+ "dot.node('B', 'AND')\n",
+ "dot.node('L', 'NOT')\n",
+ "\n",
+ "dot.edges(['AB', 'BL'])\n",
+ "dot.edge('A', 'L', constraint='false')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "64ff1f86",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "// The Round Table\n",
+ "digraph \"round-table\" {\n",
+ "\tA [label=DFF]\n",
+ "\tB [label=AND]\n",
+ "\tL [label=NOT]\n",
+ "\tA -> B\n",
+ "\tB -> L\n",
+ "\tA -> L [constraint=false]\n",
+ "}\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(dot.source)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "eac01595",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/svg+xml": [
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "dot"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "b7d9505d",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.9.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/TensorflowbasedGraph.ipynb b/TensorflowbasedGraph.ipynb
new file mode 100644
index 0000000..8d7c510
--- /dev/null
+++ b/TensorflowbasedGraph.ipynb
@@ -0,0 +1,110 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "119c1861",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "WARNING:tensorflow:From /Users/rmkchowdary/opt/anaconda3/lib/python3.9/site-packages/tensorflow/python/compat/v2_compat.py:107: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.\n",
+ "Instructions for updating:\n",
+ "non-resource variables are not supported in the long term\n"
+ ]
+ }
+ ],
+ "source": [
+ "import tensorflow.compat.v1 as tf\n",
+ "tf.disable_v2_behavior()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "aa16b6fe",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "a = tf.placeholder(tf.bool,name =\"a\")\n",
+ "b = tf.placeholder(tf.bool,name =\"b\")\n",
+ "y = tf.math.logical_and(a,b,name=\"AND\")\n",
+ "y= tf.math.logical_not(a,name=\"NOT\")\n",
+ "z= tf.math.logical_and(y,y,name=\"y\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "a9b4d555",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "2022-03-23 18:26:51.940414: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA\n",
+ "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
+ ]
+ }
+ ],
+ "source": [
+ "\n",
+ "from tensorflow.python.summary.writer.writer import FileWriter\n",
+ "sess1 = tf.compat.v1.Session()\n",
+ "#writer=tf.summary.FileWriter('./my_graph',sess.graph)\n",
+ "writer = tf.summary.FileWriter(\"log_dir1/logic_and\", sess1.graph) "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "5a22ca48",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "UsageError: Line magic function `%tensorboard` not found.\n"
+ ]
+ }
+ ],
+ "source": [
+ "#run in terminal below command\n",
+ "#tensorboard --logdir=/log_dir1/logic_and"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "b38b9e60",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.9.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}