Update pages/2_Difference_Between_Ml_and_Dl.py

pages/2_Difference_Between_Ml_and_Dl.py

@@ -86,4 +86,18 @@ st.markdown("""
 <li>Machine learning can run on a CPU because it handles smaller tasks without needing powerful hardware 🖥️.</li>
 </ul>
 """, unsafe_allow_html=True)
+st.header("Deep Learning 🤖")
+
+st.markdown("""
+<ul class="icon-bullet">
+<li>Deep Learning uses neural networks, which are brain-like systems of connected nodes that learn from data to recognize patterns and make decisions. 🧠</li>
+<li>Deep Learning is hungry for data because it needs a large amount of information to learn patterns and make accurate predictions. The more data it has, the better it can perform. 🍽️📊</li>
+<li>Deep Learning can handle all types of data, including images, text, and audio, and it can learn complex patterns from both structured and unstructured data. 🖼️📝🎧</li> 
+<li>Deep Learning requires more memory 🧠💾 to process complex data and models.</li>
+<li>Deep Learning models require more time ⏱️ because of the large amount of data and complex calculations involved.</li>
+<li>Deep Learning requires a GPU (Graphics Processing Unit), more RAM, and storage because it processes large amounts of data efficiently. 🖥️💡</li>
+</ul>
+""", unsafe_allow_html=True)
+
+