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Deep learning

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Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.

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donnemartin / data-science-ipython-notebooks

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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

python aws data-science machine-learning caffe theano big-data spark deep-learning hadoop tensorflow numpy scikit-learn keras pandas kaggle scipy matplotlib mapreduce
  • Updated Mar 20, 2024
  • Python

roboflow / notebooks

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Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

machine-learning tutorial deep-neural-networks computer-vision deep-learning pytorch image-classification object-detection image-segmentation google-colab zero-shot-detection yolov5 zero-shot-classification amazon-sagemaker-lab yolov6 yolov7 yolov8 open-vocabulary-detection open-vocabulary-segmentation automatic-labeling-system
  • Updated Jul 3, 2024
  • Jupyter Notebook

maykulkarni / Machine-Learning-Notebooks

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Machine Learning notebooks for refreshing concepts.

python machine-learning natural-language-processing reinforcement-learning deep-learning machine-learning-algorithms neural-networks deep-learning-algorithms dimensionality-reduction python-machine-learning data-processing regression-models deep-learning-tutorial data-science-notebook model-evaluation classification-trees clustering-methods machine-learning-tutorials
  • Updated Aug 24, 2021
  • Jupyter Notebook
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