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Update pages/DIFFERENCES_BETWEEN_ML&DL.py

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  1. pages/DIFFERENCES_BETWEEN_ML&DL.py +17 -0
pages/DIFFERENCES_BETWEEN_ML&DL.py CHANGED
@@ -64,3 +64,20 @@ st.markdown(
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  """,
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  unsafe_allow_html=True
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  )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  """,
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  unsafe_allow_html=True
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  )
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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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+ )