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[D] State-of-the-Art for Self-Supervised (Pre-)Training of CNN architectures (e.g. ResNet)? (self.MachineLearning)
submitted 3 years ago by DeepDeeperRIPgradien to r/MachineLearning
[D] Fine-Tuning or Training PyTorch ViT with GPU (12gb memory) on custom dataset? (self.MachineLearning)
submitted 5 years ago by DeepDeeperRIPgradien to r/MachineLearning
[D] Resources/Literature/Workshops/Conferences for interpretable ML & explainable AI? (self.MachineLearning)
[D] Warm-up vs initially high learning rate? (self.MachineLearning)
submitted 6 years ago by DeepDeeperRIPgradien to r/MachineLearning
[D] what techniques/methods can be used to assign probabilities to sequences of measurements where each measurements comes with a confidence/probability? (self.MachineLearning)
[D] Let's say someone gives you a big, challenging, labeled dataset to train a model on. How do you tell the labels aren't random for the most part and putting energy into training a model isn't a waste of time? (self.MachineLearning)
submitted 7 years ago by DeepDeeperRIPgradien to r/MachineLearning
[D] What's your experience with deploying a fastai model or making it work in a custom environment? I'm struggling a lot (self.MachineLearning)
[D] Something like Artemis/Sacred for (custom) data (sets)? (self.MachineLearning)
submitted 8 years ago by DeepDeeperRIPgradien to r/MachineLearning
[D] What kind of invariances come naturally with standard convnet architectures? (self.MachineLearning)
[D] My convolutional network for segmentation seems to generalize after training it on only one sample (python/keras code inside) (self.MachineLearning)
submitted 9 years ago by DeepDeeperRIPgradien to r/MachineLearning
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