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Home/Questions/Page 3

SIKSHAPATH Latest Questions

Pavanagg
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Pavanagg
Asked: June 8, 2024In: Other

Joro Spiders: Striking Visitors from the East! (Where are joro spiders from?)

  • -3

Where are joro spiders from?

trending
  • 1 Answer
  • 168 Views
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Pavanagg
  • 0
Pavanagg
Asked: May 25, 2024In: Other

What should you keep in mind when hiring a freelance developer?

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I recently chatted with a friend who’s looking to hire a freelance developer for her new project. She’s excited but also a bit nervous about making the right choice. Can you share some red flags to watch out for when hiring?

hiring tips for freelancers
  • 1 Answer
  • 161 Views
Answer
Pavanagg
  • 0
Pavanagg
Asked: May 25, 2024In: Other

What is pink skies about?

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What is pink skies about?

what is ... about
  • 1 Answer
  • 143 Views
Answer
Saurav kumar
  • 0
Saurav kumar
Asked: February 23, 2024In: Computer Science

Which one of the following pieces of code is used to train Autoencoder?

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After initializing your AutoEncoder you are all set to train it. Which of the following pieces of code will you use? def autoencoder_training (X_train, Y_train, epochs): history autoencoder.fit (# YOUR CODE HERE) return history Options: i. autoencoder.fit(X_train, ...

tensorflow
  • 1 Answer
  • 309 Views
Answer
Saurav kumar
  • 0
Saurav kumar
Asked: February 23, 2024In: Computer Science

What does model_1 output in this AutoEncoder code snippet?

  • 0

Consider the following code for a simple AutoEncoder, what is model_1 outputting ? inputs = tf.keras.layers.Input(shape=(784,)) def simple_autoencoder(): encoder = tf.keras.layers.Dense(units=32, activation=’relu’)(inputs) decoder = tf.keras.layers.Dense(units=784, activation=’sigmoid’)(encoder) return encoder, decoder output_1, output_2 = simple_autoencoder() model_1 = tf.keras.Model(inputs=inputs, outputs=output_1) model_2 = tf.keras.Model(inputs=inputs, outputs=output_2) options: Displaying the reconstruction of the original input ...

tensorflow
  • 1 Answer
  • 305 Views
Answer
Saurav kumar
  • 0
Saurav kumar
Asked: February 23, 2024In: Computer Science

Calculate Content Loss Value between Generated and Content Images: 5 2 1 7 vs. 3 5 5 4

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Consider the values given in the image below and calculate the content loss value. Generated image: 5 2 1 7 and content image : 3 5 5 4

image processingmachine learning
  • 1 Answer
  • 355 Views
Answer
1 2 3 4 … 224

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