Bausager
189d605bfa
added the dense layer with a forward functions. I also made the add functions for most cases.
91 lines
3.8 KiB
C++
91 lines
3.8 KiB
C++
/**++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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*
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* PANIC
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* Portable Algorithms and Numerics In C++
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*
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* Scientific computing from scratch, with feeling.
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*
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* Copyright (c) 2026 Michelle Bausager
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*
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* This file is part of PANIC.
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*
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* PANIC is free software licensed under the GNU General Public License v3.0 or later.
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* You may redistribute and/or modify it under the terms of the GPL.
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*
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* PANIC is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
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* without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
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* See the LICENSE file for the full license text.
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*
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* SPDX-License-Identifier: GPL-3.0-or-later
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*
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*++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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*
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* Project Name: PANIC
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* Module Name: neural_network
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* File Name: layer.hpp
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* Revision: 0.1.0
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* Date: 23-06-2026
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* Author: Michelle Bausager
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*
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* Description:
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* Defines the base layers struct used in pther layers in neural network
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*
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*++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/
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#pragma once
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//---------------------------------------------------------------------------------------------------------------------------
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// INCLUDE DESCRIPTION
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//---------------------------------------------------------------------------------------------------------------------------
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#include <config/types.hpp> // panic::uint_t, panic::int_t, and panic::real_t
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#include <tensor/matrix.hpp> // panic::tensor::real_matrix (uint_matrix, int_matrix)
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//---------------------------------------------------------------------------------------------------------------------------
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// DEFINE DESCRIPTION
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//---------------------------------------------------------------------------------------------------------------------------
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//---------------------------------------------------------------------------------------------------------------------------
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// TYPE DESCRIPTION
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//---------------------------------------------------------------------------------------------------------------------------
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//---------------------------------------------------------------------------------------------------------------------------
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// Type Name : panic::neural_network::layer
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//
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// Description:
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// A base layer to use in neural networks
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//
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// Member Variables:
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// None.
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//
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// Notes:
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// This base layer should be used in all layers/activations that have a forward and backward function
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// This is done so it's easy to make a list of layers in the model to loop over.
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// The virtual means it should use derived object's version when called with a pointer.
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// The =0 means the derviced object NEEDS to have these functions to work.
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//
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//---------------------------------------------------------------------------------------------------------------------------
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namespace panic{
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namespace neural_network{
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struct layer{
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virtual ~layer() = default;
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virtual bool forward(const panic::tensor::real_matrix& inputs) = 0;
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virtual bool backward(const panic::tensor::real_matrix& dinputs) = 0;
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};
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} // namespace tensor
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} // namespace panic
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//---------------------------------------------------------------------------------------------------------------------------
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// VARIABLE DESCRIPTION
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//---------------------------------------------------------------------------------------------------------------------------
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//---------------------------------------------------------------------------------------------------------------------------
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// FUNCTION PROTOTYPE
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//---------------------------------------------------------------------------------------------------------------------------
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