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Types & classes
56 in github.com/Sentdex/NNfSiX
⨍
Functions
235
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Types & classes
56
↓ 2 callers
Class
LayerDense
C+nnfs c++ part 6.cpp:576
↓ 2 callers
Class
LayerDense
C++/p006-Softmax-Activation.cpp:668
↓ 2 callers
Class
Layer_Dense
Python/p008-Categorical-Cross-Entropy-Loss-applied.py:13
↓ 2 callers
Class
Layer_Dense
Python/p004-Layers-and-Object.py:14
↓ 2 callers
Class
Layer_Dense
Python/p006-Softmax-Activation.py:9
↓ 1 callers
Class
Activation_ReLU
Python/p008-Categorical-Cross-Entropy-Loss-applied.py:21
↓ 1 callers
Class
Activation_ReLU
Python/p005-ReLU-Activation.py:18
↓ 1 callers
Class
Activation_ReLU
Python/p006-Softmax-Activation.py:17
↓ 1 callers
Class
Activation_Softmax
Python/p008-Categorical-Cross-Entropy-Loss-applied.py:25
↓ 1 callers
Class
Activation_Softmax
Python/p006-Softmax-Activation.py:21
↓ 1 callers
Class
Layer_Dense
Python/p005-ReLU-Activation.py:10
↓ 1 callers
Class
Loss_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
Class
ActivationReLU
C+nnfs c++ part 6.cpp:619
Class
ActivationReLU
C++/p006-Softmax-Activation.cpp:712
Struct
ActivationRelu
ActivationRelu represents the ReLU activation function result
Go/p005-ReLU-Activation.go:49
Class
ActivationSoftmax
C+nnfs c++ part 6.cpp:627
Class
ActivationSoftmax
C++/p006-Softmax-Activation.cpp:720
Class
Activation_ReLU
Define ReLU Activation Class
C#/p005-ReLU-Activation.cs:113
Class
Activation_ReLU
Javascript/p005-ReLU-Activation.js:59
Class
Activation_ReLU
Java/P005ReLUActivationAndSpiralDataset.java:139
Class
Dataset
Java/P005ReLUActivationAndSpiralDataset.java:33
Class
LayerDense
Rust/p005-ReLU-Activation.rs:17
Class
LayerDense
Rust/p006-Softmax-Activation.rs:23
Class
LayerDense
Rust/p004-Layers-and-Object.rs:25
Struct
LayerDense
Go/p004-Layers-and-Object.go:14
Struct
LayerDense
LayerDense represents a layer
Go/p005-ReLU-Activation.go:17
Class
Layer_Dense
Define Layer_Dense class
C#/p005-ReLU-Activation.cs:78
Class
Layer_Dense
<summary> Class Definition of Dense_Layer </summary>
C#/p004-Layers-and-Objects.cs:9
Class
Layer_Dense
Javascript/p004-Layers-and-Object.js:13
Class
Layer_Dense
Javascript/p005-ReLU-Activation.js:45
Class
Layer_Dense
Java/P004LayersAndObjects.java:31
Class
Layer_Dense
Java/P005ReLUActivationAndSpiralDataset.java:57
Class
Layer_Dense
Ruby/p004_Layers_And_Object.rb:14
Class
Loss
Python/p008-Categorical-Cross-Entropy-Loss-applied.py:31
Class
Matrix
C++/p006-Softmax-Activation.cpp:86
Class
Mf
Matrix -> contains a std::vector that holds a bunch of numcpp::Vd row by column
C+nnfs c++ part 6.cpp:77
Class
P001BasicNeuron3Inputs
Java/P001BasicNeuron3Inputs.java:7
Class
P002BasicNeuronLayer
Java/P002BasicNeuronLayer.java:9
Class
P003DotProduct
Java/P003DotProduct.java:9
Class
P004LayersAndObjects
Java/P004LayersAndObjects.java:10
Class
P005ReLUActivationAndSpiralDataset
Java/P005ReLUActivationAndSpiralDataset.java:14
Class
Program
<summary> Basic Neuron with 3 Inputs in C# </summary>
C#/p001-Basic-Neuron-3-inputs.cs:8
Class
Program
<summary> Basic Neuron Layer in C# </summary>
C#/p002-Basic-Neuron-Layer.cs:8
Class
Program
<summary> Basic Neuron Layer in C#, using Accord.Net Math for Dot Product Calculation </summary>
C#/p003-Dot-Product.cs:9
Class
Program
<summary> Neural Network Class Layer definition, Batches and use Layers with Objects. </summary>
C#/p004-Layers-and-Objects.cs:50
Class
Random
C+nnfs c++ part 6.cpp:119
Class
Random
C++/p006-Softmax-Activation.cpp:134
Class
Vector
C++/p006-Softmax-Activation.cpp:53
Class
Vf
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
Class
activation_relu
C++/p005-ReLU-Activation.cpp:84
Class
dense_layer
C++/p004-Layers-and-Object.cpp:60
Class
dense_layer
Dense Layer class
C++/p005-ReLU-Activation.cpp:96
Class
p005
C#/p005-ReLU-Activation.cs:18