File size: 1,795 Bytes
7a7829e 18dcb6c ffd9e37 7a7829e ffd9e37 18dcb6c e84fbe5 18dcb6c 7a7829e 18dcb6c 7a7829e ffd9e37 7f345b0 ffd9e37 7a7829e ffd9e37 18dcb6c ffd9e37 7a7829e ffd9e37 7a7829e ffd9e37 7a7829e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 | import streamlit as st
import base64
# Set page config
st.set_page_config(page_title="Neural Network Playground", layout="centered")
# Load and encode background image
def get_base64(file_path):
with open(file_path, "rb") as f:
data = f.read()
return base64.b64encode(data).decode()
img_base64 = get_base64("neuron.webp") # Make sure this image is in the same folder
# Inject CSS with base64 background
st.markdown(
f"""
<style>
.stApp {{
background-image: url("data:image/jpg;base64,{img_base64}");
background-size: cover;
background-position: center;
background-repeat: no-repeat;
background-attachment: fixed;
}}
</style>
""",
unsafe_allow_html=True
)
# Title
st.markdown(
"""
<h1 style='text-align: center; color: #FF6347; font-weight: bold;'>
Neural Network Playground
</h1>
""",
unsafe_allow_html=True
)
# Subtitle
st.markdown(
"""
<h3 style='text-align: center; color: #2E8B57; font-weight: normal;'>
Dive into the world of neural networks—explore and train with ease!
</h3>
""",
unsafe_allow_html=True
)
# About section
st.subheader("🔎 :blue[About the App:]")
st.markdown("""
Neural Network Playground is an interactive tool designed for hands-on exploration of machine learning models.
Whether you're just starting or already exploring advanced concepts, this platform lets you:
- 🧑💻 Build and visualize neural networks with ease and fun.
- 🔬 Train models on interactive datasets with real-time updates.
- 🛠️ Experiment with various architectures and see instant results.
- 🧠 Adjust hyperparameters and observe their effects on model learning—live!
No coding required. Just pure, interactive learning.
""")
|