.jazzy.json

{
    "author": "Palle Klewitz",
    "author_url": "https://github.com/palle-k",
    "github_url": "https://github.com/palle-k/DL4S",
    "module": "DL4S",
    "theme": "fullwidth",
    "custom_categories": [{
        "name": "Math",
        "children": [
            "Tensor"
        ]
    }, {
        "name": "Network Layers",
        "children": [
            "LayerType",
            "Sequential",
            "Dense",
            "Convolution2D",
            "TransposedConvolution2D",
            "MaxPool2D",
            "AvgPool2D",
            "AdaptiveMaxPool2D",
            "AdaptiveAvgPool2D",
            "RNN",
            "LSTM",
            "GRU",
            "BasicRNN",
            "Bidirectional",
            "Embedding",
			"PositionalEncoding",
			"ScaledDotProductAttention",
			"MultiHeadAttention",
			"TransformerEncoderBlock",
			"TransformerDecoderBlock",
			"TransformerEncoder",
			"TransformerDecoder",
			"PointwiseFeedForward",
            "LayerNorm",
            "BatchNorm",
			"Dropout",
            "Tanh",
            "Sigmoid",
            "Relu",
            "LeakyRelu",
            "Softmax",
			"LogSoftmax",
            "Lambda",       
            "Flatten",
            "Reshape",
            "Concat",
            "AnyLayer",
			"Gelu",
			"Swish",
			"Mish",
			"LiSHT"
        ]
    }, {
        "name": "Loss Functions",
        "children": [
            "binaryCrossEntropy(expected:actual:)",
            "categoricalCrossEntropy(expected:actual:ignoreIndex:)",
			"categoricalNegativeLogLikelihood(expected:actual:ignoreIndex:)",
            "meanSquaredError(expected:actual:)",
            "l1loss(_:loss:)",
            "l2loss(_:loss:)"
        ]
    }, {
        "name": "Optimizers",
        "children": [
            "Optimizer",
            "SGD",
            "Momentum",
            "Adam",
            "Adadelta",
            "Adagrad",
            "RMSProp"
        ]
    }, {
        "name": "Model Zoo",
        "children": [
			"Transformer",
            "AlexNet",
            "ResNet18",
            "ResidualBlock",
            "VGG11",
            "VGG13",
            "VGG16",
            "VGG19"
        ]
    }]
}