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I’m trying to train a CNN to categorize text by topic. When I use binary cross-entropy I get ~80% accuracy, with categorical cross-entropy I get ~50% accuracy. I don’t...
How do I initialize weights and biases of a network (via e.g. He or Xavier initialization)? 10 Answers 10
I have trained a binary classification model with CNN, and here is my code model = Sequential() model.add(Convolution2D(nb_filters, kernel_size[0], kernel_size[1], border_mode="valid", input_shape=input_shape)) model.add(Activation('relu')) model.add(Convolution2D(nb_filters, kernel_size[0], kernel_size[1])) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=pool_size)) #...
Why does zero_grad() need to be called during training? | zero_grad(self) | Sets gradients of all model parameters to zero. 5 Answers 5
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For any Keras layer (Layer class), can someone explain how to understand the difference between input_shape, units, dim, etc.? For example the doc says units specify the output shape...
This question already has answers here: What are logits? What is the difference between softmax and softmax_cross_entropy_with_logits? (7 answers) Closed 1 year ago. In the following TensorFlow function, we...
I am trying to reconcile my understand of LSTMs and pointed out here in this post by Christopher Olah implemented in Keras. I am following the blog written by...
What is the difference between ‘SAME’ and ‘VALID’ padding in tf.nn.max_pool of tensorflow? In my opinion, ‘VALID’ means there will be no zero padding outside the edges when we...