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update samples from Release-158 as a part of SDK release #1812

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update samples from Release-158 as a part of SDK release #1812

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41 changes: 0 additions & 41 deletions SECURITY.md
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19 changes: 10 additions & 9 deletions ...reml/work-with-data/datasets-tutorial/pipeline-with-datasets/keras-mnist-fashion/train.py
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Original file line number Diff line number Diff line change
@@ -1,10 +1,11 @@
import keras
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras.layers.normalization import BatchNormalization
from keras.utils import to_categorical
from keras.callbacks import Callback
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, Flatten
from tensorflow.keras.layers import Conv2D, MaxPooling2D
from tensorflow.keras.layers import BatchNormalization
from tensorflow.keras.losses import categorical_crossentropy
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.callbacks import Callback

import numpy as np
import pandas as pd
Expand Down Expand Up @@ -64,8 +65,8 @@
model.add(Dropout(0.3))
model.add(Dense(num_classes, activation='softmax'))

model.compile(loss=keras.losses.categorical_crossentropy,
optimizer=keras.optimizers.Adam(),
model.compile(loss=categorical_crossentropy,
optimizer=Adam(),
metrics=['accuracy'])

# start an Azure ML run
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11 changes: 7 additions & 4 deletions ...ith-data/datasets-tutorial/pipeline-with-datasets/pipeline-for-image-classification.ipynb
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Expand Up @@ -270,16 +270,19 @@
"%%writefile conda_dependencies.yml\n",
"\n",
"dependencies:\n",
"- python=3.6.2\n",
"- python=3.8\n",
"- pip==20.2.4\n",
"- pip:\n",
" - azureml-core\n",
" - azureml-dataset-runtime\n",
" - keras==2.4.3\n",
" - tensorflow==2.4.3\n",
" - keras==2.6\n",
" - tensorflow-gpu==2.6\n",
" - numpy\n",
" - scikit-learn\n",
" - pandas\n",
" - matplotlib"
" - matplotlib\n",
" - protobuf==3.20.1\n",
" - typing-extensions==4.3.0"
]
},
{
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