Add Deep Learning intro py file

app.py

@@ -81,8 +81,11 @@ def main():
             - For a **Neural Network**, imagine adding layers of neurons. Each neuron applies a weighted sum, then an activation function. The model learns through backpropagation, adjusting weights to minimize the error over time.
         """)
         
-        st.image("neuron.PNG", caption="Linear regression - single neuron unit", use_column_width ='auto')
-        st.image("NN.PNG", caption=" Neural Network Illustration", use_column_width ='auto')
+        nn_image_url = "https://raw.githubusercontent.com/gridflowai/gridflowAI-datasets-icons/ab018053d82052aa9b7ce1b0e9a76410663af734/AI-icons-images/nn.png"
+        neuron_image_url = "https://raw.githubusercontent.com/gridflowai/gridflowAI-datasets-icons/ab018053d82052aa9b7ce1b0e9a76410663af734/AI-icons-images/neuron.png"
+        
+        st.image(neuron_image_url, caption="Linear regression - single neuron unit", use_column_width ='auto')
+        st.image(nn_image_url, caption=" Neural Network Illustration", use_column_width ='auto')
 
     # Expander for Perceptron Regression on California Housing Dataset
     with st.expander("➡️ Linear Regression on California Housing Dataset"):