Question: Explain the concept of placeholders in TensorFlow.Answer: Placeholders are used to feed actual training examples into the computational graph. They allow you to create the graph without knowing the actual data that will be fed into it.Example: x = tf.placeholder(tf.float32, shape=(None, input_size)) |
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