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import streamlit as st | |
import numpy as np | |
import pandas as pd | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
import plotly.express as px | |
import plotly.graph_objs as go | |
from sklearn.ensemble import RandomForestClassifier | |
from sklearn.tree import DecisionTreeClassifier |
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import streamlit as st | |
import numpy as np | |
import pandas as pd | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
import plotly.express as px | |
import plotly.graph_objs as go | |
st.set_page_config( | |
page_title="VAMStack Course", |
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1. What is a neural network? | |
(a) A type of computer program that learns and improves from data, inspired by the structure and function of the human brain. | |
(b) A computer chip specifically designed for high-performance graphical processing. | |
(c) A network cable used to connect computers to a local area network. | |
(d) A software program used to browse the internet. | |
2. What is NOT a pre-processing step in a computer vision pipeline? | |
(a) Grayscale conversion (converting color images to black and white) |
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# Copyright 2019 The TensorFlow Authors. All Rights Reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, |
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/******************************************************************************* | |
* File Name: main.c | |
* | |
* Description: This is the source code for the Empty Application Example | |
* for ModusToolbox. | |
* | |
* Related Document: See README.md | |
* | |
* | |
******************************************************************************** |
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# Copyright (c) ZenML GmbH 2022. All Rights Reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at: | |
# | |
# https://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, |
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# Copyright (c) ZenML GmbH 2022. All Rights Reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at: | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, |
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# Copyright (c) ZenML GmbH 2022. All Rights Reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at: | |
# | |
# https://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, |
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# Copyright (c) ZenML GmbH 2022. All Rights Reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at: | |
# | |
# https://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, |