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  {
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   "source": [
    "# Neural Network\n",
    "\n",
    "## What is a neuron in a neural network?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "126bc01c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "import random\n",
    "\n",
    "def sigmoid(x: float) -> float:\n",
    "    return 1/(1 + math.exp(-x))\n",
    "\n",
    "class Neuron:\n",
    "    def __init__(self, isize: int) -> None:\n",
    "        self.isize = isize\n",
    "        self.weight = [random.uniform(0, 1) for _ in range(self.isize)]\n",
    "        self.bias = random.uniform(0, 1)\n",
    "\n",
    "    def forward(self, inputs: list) -> float:\n",
    "        assert len(inputs) == self.isize, \"error: incorrect inputs number\"\n",
    "        total = sum(self.weight[i] * inputs[i] for i in range(self.isize)) + self.bias\n",
    "        return sigmoid(total)"
   ]
  }
 ],
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