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      <title>Emojify - Face Filter by Cristina Golban</title>
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      <description>Vectori si prelucrarea numerelor</description>
      <language>en-us</language>
      <pubDate>2020-06-03 13:45:44 UTC</pubDate>
      <lastBuildDate>2023-01-18 15:13:29 UTC</lastBuildDate>
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         <pubDate>2023-01-18 15:06:44 UTC</pubDate>
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         <pubDate>2023-01-18 15:07:57 UTC</pubDate>
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         <author>cristinagolban99</author>
         <link>https://padlet.com/cristinagolban99/Bookmarks/wish/2448477426</link>
         <description><![CDATA[<ul><li>left_eye_center,&nbsp;</li><li>Right_eye_center,</li><li>Left_eye_inner_corner,</li><li>Left_eye_outer_corner,</li><li>Right_eye_inner_corner,</li><li>Right_eye_outer_corner,</li><li>Left_eyebrow_inner_end,</li><li>Left_eyebrow_outer_end,</li><li>Right_eyebrow_inner_end,</li><li>Right_eyebrow_outer_end,</li><li>Nose_tip,</li><li>Mouth_left_corner,</li><li>Mouth_right_corner,</li><li>Mouth_center_top_lip,</li><li>mouth_center_bottom_lip</li></ul><div><br></div>]]></description>
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         <pubDate>2023-01-18 15:08:32 UTC</pubDate>
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         <author>cristinagolban99</author>
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         <pubDate>2023-01-18 15:10:14 UTC</pubDate>
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         <author>cristinagolban99</author>
         <link>https://padlet.com/cristinagolban99/Bookmarks/wish/2448483994</link>
         <description><![CDATA[<div>def get_model():<br>&nbsp; &nbsp; model = Sequential()<br>&nbsp; &nbsp; model.add(Conv2D(64, kernel_size=3, strides=2, padding='same', input_shape=(96,96,1), activation='relu'))<br>&nbsp; &nbsp; model.add(MaxPooling2D(pool_size=(2, 2), padding='same'))<br>&nbsp; &nbsp; model.add(Conv2D(128, kernel_size=3, strides=2, padding='same', activation='relu'))<br>&nbsp; &nbsp; model.add(MaxPooling2D(pool_size=(2, 2), padding='same'))<br>&nbsp; &nbsp; model.add(Conv2D(128, kernel_size=3, strides=2, padding='same', activation='relu'))<br>&nbsp; &nbsp; model.add(MaxPooling2D(pool_size=(2, 2), padding='same'))<br>&nbsp; &nbsp; model.add(Conv2D(64, kernel_size=1, strides=2, padding='same', activation='relu'))<br>&nbsp; &nbsp; model.add(MaxPooling2D(pool_size=(2, 2), padding='same'))<br>&nbsp; &nbsp; model.add(Flatten())<br>&nbsp; &nbsp;&nbsp;<br>&nbsp; &nbsp; model.add(Dense(128, activation='relu'))<br>&nbsp; &nbsp; model.add(Dropout(0.1))<br>&nbsp; &nbsp; model.add(Dense(256, activation='relu'))<br>&nbsp; &nbsp; model.add(Dropout(0.2))<br>&nbsp; &nbsp; model.add(Dense(128, activation='relu'))<br>&nbsp; &nbsp; model.add(Dropout(0.1))<br>&nbsp; &nbsp; model.add(Dense(30))<br>&nbsp; &nbsp; return model;</div>]]></description>
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         <pubDate>2023-01-18 15:12:32 UTC</pubDate>
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