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Types & classes56 in github.com/Sentdex/NNfSiX

↓ 2 callersClassLayerDense
C+nnfs c++ part 6.cpp:576
↓ 2 callersClassLayerDense
C++/p006-Softmax-Activation.cpp:668
↓ 2 callersClassLayer_Dense
Python/p008-Categorical-Cross-Entropy-Loss-applied.py:13
↓ 2 callersClassLayer_Dense
Python/p004-Layers-and-Object.py:14
↓ 2 callersClassLayer_Dense
Python/p006-Softmax-Activation.py:9
↓ 1 callersClassActivation_ReLU
Python/p008-Categorical-Cross-Entropy-Loss-applied.py:21
↓ 1 callersClassActivation_ReLU
Python/p005-ReLU-Activation.py:18
↓ 1 callersClassActivation_ReLU
Python/p006-Softmax-Activation.py:17
↓ 1 callersClassActivation_Softmax
Python/p008-Categorical-Cross-Entropy-Loss-applied.py:25
↓ 1 callersClassActivation_Softmax
Python/p006-Softmax-Activation.py:21
↓ 1 callersClassLayer_Dense
Python/p005-ReLU-Activation.py:10
↓ 1 callersClassLoss_CategoricalCrossentropy
Python/p008-Categorical-Cross-Entropy-Loss-applied.py:37
Class
Javascript/p004-Layers-and-Object.js:13
Class
Javascript/p005-ReLU-Activation.js:45
Class
Javascript/p005-ReLU-Activation.js:59
ClassActivationReLU
C+nnfs c++ part 6.cpp:619
ClassActivationReLU
C++/p006-Softmax-Activation.cpp:712
StructActivationRelu
ActivationRelu represents the ReLU activation function result
Go/p005-ReLU-Activation.go:49
ClassActivationSoftmax
C+nnfs c++ part 6.cpp:627
ClassActivationSoftmax
C++/p006-Softmax-Activation.cpp:720
ClassActivation_ReLU
Define ReLU Activation Class
C#/p005-ReLU-Activation.cs:113
ClassActivation_ReLU
Javascript/p005-ReLU-Activation.js:59
ClassActivation_ReLU
Java/P005ReLUActivationAndSpiralDataset.java:139
ClassDataset
Java/P005ReLUActivationAndSpiralDataset.java:33
ClassLayerDense
Rust/p005-ReLU-Activation.rs:17
ClassLayerDense
Rust/p006-Softmax-Activation.rs:23
ClassLayerDense
Rust/p004-Layers-and-Object.rs:25
StructLayerDense
Go/p004-Layers-and-Object.go:14
StructLayerDense
LayerDense represents a layer
Go/p005-ReLU-Activation.go:17
ClassLayer_Dense
Define Layer_Dense class
C#/p005-ReLU-Activation.cs:78
ClassLayer_Dense
<summary> Class Definition of Dense_Layer </summary>
C#/p004-Layers-and-Objects.cs:9
ClassLayer_Dense
Javascript/p004-Layers-and-Object.js:13
ClassLayer_Dense
Javascript/p005-ReLU-Activation.js:45
ClassLayer_Dense
Java/P004LayersAndObjects.java:31
ClassLayer_Dense
Java/P005ReLUActivationAndSpiralDataset.java:57
ClassLayer_Dense
Ruby/p004_Layers_And_Object.rb:14
ClassLoss
Python/p008-Categorical-Cross-Entropy-Loss-applied.py:31
ClassMatrix
C++/p006-Softmax-Activation.cpp:86
ClassMf
Matrix -> contains a std::vector that holds a bunch of numcpp::Vd row by column
C+nnfs c++ part 6.cpp:77
ClassP001BasicNeuron3Inputs
Java/P001BasicNeuron3Inputs.java:7
ClassP002BasicNeuronLayer
Java/P002BasicNeuronLayer.java:9
ClassP003DotProduct
Java/P003DotProduct.java:9
ClassP004LayersAndObjects
Java/P004LayersAndObjects.java:10
ClassP005ReLUActivationAndSpiralDataset
Java/P005ReLUActivationAndSpiralDataset.java:14
ClassProgram
<summary> Basic Neuron with 3 Inputs in C# </summary>
C#/p001-Basic-Neuron-3-inputs.cs:8
ClassProgram
<summary> Basic Neuron Layer in C# </summary>
C#/p002-Basic-Neuron-Layer.cs:8
ClassProgram
<summary> Basic Neuron Layer in C#, using Accord.Net Math for Dot Product Calculation </summary>
C#/p003-Dot-Product.cs:9
ClassProgram
<summary> Neural Network Class Layer definition, Batches and use Layers with Objects. </summary>
C#/p004-Layers-and-Objects.cs:50
ClassRandom
C+nnfs c++ part 6.cpp:119
ClassRandom
C++/p006-Softmax-Activation.cpp:134
ClassVector
C++/p006-Softmax-Activation.cpp:53
ClassVf
Vector -> contains a std::vector that holds a bunch of double Its called vf becasue it used to hold floats until i realised that a double is needed, s
C+nnfs c++ part 6.cpp:49
Classactivation_relu
C++/p005-ReLU-Activation.cpp:84
Classdense_layer
C++/p004-Layers-and-Object.cpp:60
Classdense_layer
Dense Layer class
C++/p005-ReLU-Activation.cpp:96
Classp005
C#/p005-ReLU-Activation.cs:18