• Reshapes an input to a certain shape.

    const input = tf.input({shape: [4, 3]});
    const reshapeLayer = tf.layers.reshape({targetShape: [2, 6]});
    // Inspect the inferred output shape of the Reshape layer, which
    // equals `[null, 2, 6]`. (The 1st dimension is the undermined batch size.)
    console.log(JSON.stringify(reshapeLayer.apply(input).shape));

    Input shape: Arbitrary, although all dimensions in the input shape must be fixed. Use the configuration inputShape when using this layer as the first layer in a model.

    Output shape: [batchSize, targetShape[0], targetShape[1], ..., targetShape[targetShape.length - 1]].

    Parameters

    • args: ReshapeLayerArgs

    Returns Reshape

    Doc

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