Tensors.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a761b713",
   "metadata": {},
   "source": [
    "# Tensors"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee90d7cf",
   "metadata": {},
   "source": [
    "#### 0-D Tensor / Scalers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b7ed47ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1a5aeb5e",
   "metadata": {},
   "outputs": [],
   "source": [
    "a=np.array(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fdd80dc0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(2)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ff422e8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.ndim"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "486ed36f",
   "metadata": {},
   "source": [
    "#### 1-D Tensor / Vector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7e2557ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr=np.array([1,2,3,4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e50cec15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3, 4])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6583dc31",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr.ndim"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "492b6362",
   "metadata": {},
   "source": [
    "#### 2-D Tensor / Matrices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cad28e68",
   "metadata": {},
   "outputs": [],
   "source": [
    "mat=np.array([[1,2,3],[4,5,6],[7,8,9]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0b3e92aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3],\n",
       "       [4, 5, 6],\n",
       "       [7, 8, 9]])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ee79330c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mat.ndim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "feed18e4",
   "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}