Add text and fix latex formula

app.py

@@ -5,8 +5,9 @@ import matplotlib.pyplot as plt
 st.title('Fitting simple models with JAX')
 st.header('A quadratric regression example')
 
-st.markdown('**This is a simple text** to specify the goal of this simple data app\n.')
-st.latex('h(\boldsymbol x, \boldsymbol w)= \sum_{k=1}^{K}\boldsymbol w_{k} \phi_{k}(\boldsymbol x)')
+st.markdown('*\"Parametrised models are simply functions that depend on inputs and trainable parameters. There is no fundamental difference between the two, except that trainable parameters are shared across training samples whereas the input varies from sample to sample.\"* [(Yann LeCun, Deep learning course)](https://atcold.github.io/pytorch-Deep-Learning/en/week02/02-1/#Parametrised-models)')
+
+st.latex(r'''h(\boldsymbol x, \boldsymbol w)= \sum_{k=1}^{K}\boldsymbol w_{k} \phi_{k}(\boldsymbol x)''')
 
 number_of_observations = st.sidebar.slider('Number of observations', min_value=50, max_value=150, value=50)
 noise_standard_deviation = st.sidebar.slider('Standard deviation of the noise', min_value = 0.0, max_value=2.0, value=0.25)