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udlbook
2022-11-15 09:57:34 +00:00
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commit 8719f2fb79
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CM20315_Gradients_II.ipynb
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@@ -5,7 +5,7 @@
"colab": { "colab": {
"provenance": [], "provenance": [],
"collapsed_sections": [], "collapsed_sections": [],
"authorship_tag": "ABX9TyNG5U3+qTrD4ph1kPPtt1L2", "authorship_tag": "ABX9TyNUus+txeW8v5HpKHIRwUMo",
"include_colab_link": true "include_colab_link": true
}, },
"kernelspec": { "kernelspec": {
@@ -30,7 +30,7 @@
{ {
"cell_type": "markdown", "cell_type": "markdown",
"source": [ "source": [
"# Backpropagation algorithm\n", "# Gradients II: Backpropagation algorithm\n",
"\n", "\n",
"In this practical, we'll investigate the backpropagation algoritithm. This computes the gradients of the loss with respect to all of the parameters (weights and biases) in the network. We'll use these gradients when we run stochastic gradient descent." "In this practical, we'll investigate the backpropagation algoritithm. This computes the gradients of the loss with respect to all of the parameters (weights and biases) in the network. We'll use these gradients when we run stochastic gradient descent."
], ],