zaidalyafeai · April 3, 2018 23:03
diff --git a/tf-applyconvlayer.js b/tf-applyconvlayer.js
 const convlayer = tf.layers.conv2d({
  inputShape: [28, 28, 1],
  kernelSize: 5,
  filters: 8,
  strides: 1,
  activation: 'relu',
  kernelInitializer: 'VarianceScaling'
 });

 const input = tf.zeros([1,28,28,1]);
 const output = convlayer.apply(input);
	const convlayer = tf.layers.conv2d({
	inputShape: [28, 28, 1],
	kernelSize: 5,
	filters: 8,
	strides: 1,
	activation: 'relu',
	kernelInitializer: 'VarianceScaling'
	});

	const input = tf.zeros([1,28,28,1]);
	const output = convlayer.apply(input);