Cognitio.ConvNetSharp.Core by Cedric Bovar

<PackageReference Include="Cognitio.ConvNetSharp.Core" Version="0.4.14" />

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API Diff between 0.4.14 and 0.4.8-alpha

6 Additions 15 Removals

ConvNetSharp.Core.Fluent

• public class FluentNet<T> : INet<T> where T : struct, IEquatable<T>, IFormattable
  • public Dictionary<string, object> GetData()

ConvNetSharp.Core.Layers

• public class ConvLayer<T> : LayerBase<T>, IDotProductLayer<T> where T : struct, IEquatable<T>, IFormattable
  • public T L1DecayMul { get; set; }
  • public T L2DecayMul { get; set; }
• public class LeakyReluLayer<T> : LayerBase<T> where T : struct, IEquatable<T>, IFormattable
  • public LeakyReluLayer()
  • public T Alpha { get; set; }
  • public LeakyReluLayer(T alpha)
• public class ParametersAndGradients<T> where T : struct, IEquatable<T>, IFormattable
  • public T? L1DecayMul { get; set; }
  • public T? L2DecayMul { get; set; }

ConvNetSharp.Core.Layers.Double

• public class LeakyReluLayer : LeakyReluLayer<double>
  • public LeakyReluLayer()
  • public LeakyReluLayer(double alpha)

ConvNetSharp.Core.Layers.Single

• public class LeakyReluLayer : LeakyReluLayer<float>
  • public LeakyReluLayer()
  • public LeakyReluLayer(float alpha)

ConvNetSharp.Core.Serialization

• public static class SerializationExtensions
  • public static string ToJson<T>(this FluentNet<T> net) where T : struct, IEquatable<T>, IFormattable

ConvNetSharp.Core.Training

• public class AdamTrainer<T> : TrainerBase<T> where T : struct, IEquatable<T>, IFormattable
  • public T L1Decay { get; set; }
  • public T L1DecayLoss { get; }
  • public T L2Decay { get; set; }
  • public T L2DecayLoss { get; }
• public class SgdTrainer<T> : TrainerBase<T>, IDisposable where T : struct, IEquatable<T>, IFormattable
  • public T L1Decay { get; set; }
  • public T L1DecayLoss { get; }
  • public T L2Decay { get; set; }
  • public T L2DecayLoss { get; }