Update pages/DIFFERENCES_BETWEEN_ML&DL.py
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pages/DIFFERENCES_BETWEEN_ML&DL.py
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""",
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unsafe_allow_html=True
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""",
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unsafe_allow_html=True
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# Content for Deep Learning
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st.markdown(
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"""
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<div class="division">
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<h2>Key Points in Deep Leraning</h2>
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<ul>
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<li><strong>Data Points:</strong> Machine Learning models csan be trained on larger dataset.</li>
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<li><strong>Hardware for Training:</strong> Training can be done on GPUs.</li>
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<li><strong>Training Time:</strong> Requires more time due to larger dataset sizes and bigger algorithms.</li>
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<li><strong>Algorithm Complexity:</strong> Deep learning algorithms are based on artificial neural networks that consist of multiple layers and nodes..</li>
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<li><strong>Analysis Complexity:</strong>Uses complex neural networks with multiple layers to analyze more intricate patterns and relationships.</li>
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<li><strong>Application Areas:</strong> Deep learning is mostly used for complex tasks such as image and speech recognition, natural language processing, and autonomous systems.</li>
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</ul>
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</div>
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""",
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unsafe_allow_html=True
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)
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