\n",
"Essence of the entire learning process behind deep learning algorithms\n",
"
"
]
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"
\n",
"
\n",
"\n",
"- Input layer $$x=(x_1,x_2,x_3,x_4)^T.$$\n",
"\n",
"- Hidden layer \n",
"$$h = (h_1,h_2,h_3, h_4,h_5)^T.$$\n",
"\n",
"- Output layer \n",
"$$z = ( z_1, z_2, z_3)^T.$$\n",
"\n",
"With bias in input and hidden layer $x_0 = 1, h_0=1$, we denote\n",
"\n",
"$$\n",
"{\\bf x} = (1,x^T)^T,\\quad\\quad\\quad\n",
"{\\bf h} = (1,h^T)^T\n",
"$$\n",
"\n",
"\n",
"
"
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"