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#!/usr/bin/env owl | ||
(* | ||
* OWL - OCaml Scientific Computing | ||
* Copyright (c) 2016-2022 Liang Wang <[email protected]> | ||
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#!/usr/bin/env owl | ||
(* This example demonstrates how to write a gradient descent algorithm. *) | ||
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open Owl | ||
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#!/usr/bin/env owl | ||
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open Owl | ||
module LL = Owl_cluster | ||
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#!/usr/bin/env owl | ||
(* This example demonstrates using lazy functor to train a model on mnist. *) | ||
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open Owl | ||
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#!/usr/bin/env owl | ||
(* This example demonstrates the use of lazy evaluation in Owl *) | ||
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open Owl | ||
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#!/usr/bin/env owl | ||
(* This example demonstrates using lazy functor to train a model on mnist. *) | ||
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open Owl | ||
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#!/usr/bin/env owl | ||
(* This example shows how to use linear algebra module in Owl. *) | ||
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open Owl | ||
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#!/usr/bin/env owl | ||
(* This example trains a simple convolutional network on the MNIST dataset. *) | ||
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open Owl | ||
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#!/usr/bin/env owl | ||
(* This example implements LeNet-5 architecture on the MNIST dataset. *) | ||
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open Owl | ||
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#!/usr/bin/env owl | ||
(* This example demonstrates how to implement Newton method with Algdoff. *) | ||
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open Owl | ||
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#!/usr/bin/env owl | ||
#require "owl-plplot" | ||
(* Test Regression module *) | ||
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#!/usr/bin/env owl | ||
#require "owl-plplot" | ||
(* This example demonstrates SVM regression. *) | ||
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#!/usr/bin/env owl | ||
(* Test Topic Module *) | ||
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(* | ||
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#!/usr/bin/env owl | ||
(* stochastic gradient decent algorithm *) | ||
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module MX = Owl.Dense.Matrix.D | ||
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#!/usr/bin/env owl | ||
(* test TF-IDF model *) | ||
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open Owl | ||
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