deep-learning 11 machine-learning 7 gradient-descent 5 neural-networks 5 neural-network 4 tensorflow 4 pytorch 4 batch-normalization 4 hyperparameter-tuning 4 activation-functions 4 regularization 3 hyperparameter-optimization 3 dropout-layers 3 optimizer 3 auc-roc-curve 2 activation-function 2 logistic-regression 2 optimization 2 nn 2 keras-classification-models 2 weight-initializers 2 classification 2 python 2 segmentation 1 deep-learning-techniques 1 sgd 1 data-augmentation 1 activation 1 adaptive-introspection 1 artificial-intelligence 1 curated-lists 1 curated-list 1 data-science 1 hyper-parameters 1 introspection 1 curated-collections 1 curated 1 collections 1 awesome-lists 1 awesome-list 1 awesome 1 pytorch-lightning 1 ml-flow 1 epochs 1 binary-classification 1 softmax-demo 1 sigmoid-function 1 shallow-net-in-tensorflow 1 shallow-net-in-pytorch 1 meta-cognition 1 early-stopping 1 expo-moving-average 1 feature-scaling 1 hyperparameters 1 loss-functions 1 memoization 1 mnist-handwriting-recognition 1 perceptron 1 reguarization 1 vanishing-gradient 1 deep-learning-algorithms 1 back-propagation 1 keras-neural-networks 1 optimization-algorithms 1 ai 1 he-initialization 1 ml-resources 1 network-topology 1 normalization 1 papers 1 postprocessors 1 preprocessors 1 research-and-development 1 tensor-algebra 1 lstm 1 met-huristic 1 metaheuristic-algorithms 1 rnn 1 slr 1 systematic-review 1 weight-optimization 1 backpropagation 1 deeplearning 1 convolution 1 concat 1 generator 1 discriminator 1 dcgan-pytorch 1 adversarial-machine-learning 1 weights-and-biases 1 sequential-models 1 multi-layer-perceptron 1 keras-tensorflow 1 k-fold-cross-validation 1 earlystopping 1 crossvalidation 1 callback 1 artificial-neural-networks 1 optimization-methods 1 vectorization 1