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Core Neural Networks Framework

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/*
 * Copyright (c) 2019 by Andrew Charneski.
 *
 * The author licenses this file to you under the
 * Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance
 * with the License.  You may obtain a copy
 * of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */

package com.simiacryptus.mindseye.eval;

import com.simiacryptus.lang.ref.ReferenceCountingBase;

/**
 * Base class for an object which can be evaluated using differential weights. This represents a function without inputs
 * and apply only one output. The internal weights, effectively the function's input, are adjusted to minimize this
 * output.
 */
public abstract class TrainableBase extends ReferenceCountingBase implements Trainable {

}