From d6bb300363b1ff0bcd3105c2aa8db72d86913033 Mon Sep 17 00:00:00 2001 From: Henry Beveridge Date: Fri, 16 Jun 2023 16:37:59 -0700 Subject: [PATCH] fix typo in IntroKeras.ipynb --- .../05-Frameworks/IntroKeras.ipynb | 19 ++++++++++++++++++- 1 file changed, 18 insertions(+), 1 deletion(-) diff --git a/lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb b/lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb index 9b634fc0..5e556257 100644 --- a/lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb +++ b/lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb @@ -1,6 +1,7 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "metadata": { "id": "En2vX4FuwHlu" @@ -16,6 +17,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": { "id": "8cACQoFMwHl3" @@ -65,6 +67,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": { "id": "6tp2xGV7wHl4" @@ -83,6 +86,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": { "id": "A10prCPowHl7" @@ -185,6 +189,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -206,6 +211,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": { "id": "SjPlpf2-wHl8" @@ -251,6 +257,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -292,6 +299,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -313,6 +321,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -320,7 +329,7 @@ "* `x` and `y` specify training data, features and labels respectively\n", "* If we want validation to be performed on each epoch, we can specify `validation_data` parameter, which would be a tuple of features and labels\n", "* `epochs` specified the number of epochs\n", - "* If we want training to happen in minibatches, we can speficu `batch_size` parameter. You can also pre-batch the data manually before passing it to `x`/`y`/`validation_data`, in which case you do not need `batch_size`" + "* If we want training to happen in minibatches, we can specify `batch_size` parameter. You can also pre-batch the data manually before passing it to `x`/`y`/`validation_data`, in which case you do not need `batch_size`" ] }, { @@ -370,6 +379,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": { "id": "s4_Atvn5K4K9" @@ -423,6 +433,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": { "id": "dvAiaj_JndyP" @@ -508,6 +519,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -578,6 +590,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -634,6 +647,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -647,6 +661,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": { "id": "BmHNhUU8bqEX" @@ -669,6 +684,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": { "id": "gZ-kWx84bMDH" @@ -683,6 +699,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": { "id": "yX6hqiafwHl9"