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Deep neural networks

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Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.

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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 May 31, 2024
  • Jupyter Notebook

aurimas13 / Machine-Learning-Goodness

Star 254

The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.

python computer-science data-science machine-learning deep-neural-networks reinforcement-learning algorithms machine-learning-algorithms tips deep-reinforcement-learning python3 artificial-intelligence reinforcement-learning-algorithms tips-and-tricks cheatsheets mlops gpt4 artifcial-intelligence chatgpt
  • Updated Nov 28, 2023
  • Jupyter Notebook

habedi / PracticalMachineLearning

Star 81

A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source

python data-science machine-learning data-mining deep-neural-networks deep-learning graph-algorithms scikit-learn jupyter-notebook pandas kaggle artificial-intelligence data-analysis datasets python-machine-learning graph-mining self-learning anomaly-detection zeppelin-notebook data-science-resourses
  • Updated Apr 23, 2024
  • Jupyter Notebook

netik1020 / Concise-iPython-Notebooks-for-Deep-learning

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Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

deep-neural-networks text-classification word-embeddings snapshot image-processing text-generation autoencoder image-classification deeplearning text-processing image-segmentation semantic-relationship-extraction keras-neural-networks u-net bi-lstm-crf intent-classification attention-lstm inception-architecture unet-keras
  • Updated Aug 9, 2019
  • Jupyter Notebook

mayur7garg / PlantLeafDiseaseDetection

Star 25

Deep learning using CNN in tensorflow on Kaggle image dataset containing 87,900 different healthy and unhealthy crop leaves spanning 38 unique classes.

python deep-neural-networks deep-learning neural-network jupyter notebook tensorflow keras cnn python3 kaggle dropout image-classification tensorboard matplotlib regularization convolutional-neural-networks max-pooling global-average-pooling tensorflow2
  • Updated May 2, 2021
  • Jupyter Notebook

crp94 / Personalised-aesthetic-assessment-using-residual-adapters

Star 19

Jupyter notebooks used as supporting material for an msc thesis about personalised aesthetic assessment using residual adapters.

deep-neural-networks computer-vision deep-learning thesis notebook photography picture image-processing neural-networks image-manipulation image-classification enhancement deep-learning-tutorial aesthetic-engine aesthetic-visual-analysis residual-adapters personalised-aesthetics-assessment
  • Updated Dec 28, 2019
  • Jupyter Notebook

dhanushkamath / CIFAR-10

Star 7

An IPython notebook demonstrating the process of Transfer Learning using pre-trained Convolutional Neural Networks with Keras on the popular CIFAR-10 Image Classification dataset.

python machine-learning deep-neural-networks computer-vision deep-learning tensorflow keras data-visualization python3 artificial-intelligence classification image-classification tensorflow-tutorials keras-tutorials transfer-learning keras-classification-models keras-neural-networks keras-visualization tensorflow-examples bottleneck-features
  • Updated Jan 20, 2018
  • Jupyter Notebook

YoucefBYu / Drug-descovery-project

Star 7

With the rise of deep learning models and the successful result showing in different domains (such as Computer vision and Natural language processing)researchers and laboratories of chem-informatics try to apply these techniques in drug design and discovery. recently,the application of Deep Learning in this area of research has made a good progr…

deep-neural-networks notebook tensorflow numpy machine-learning-algorithms keras google-drive pandas seaborn rdkit scikit-multilearn plt pydrive colab-notebook tox21 deepchem auc-tr auc-test
  • Updated Aug 16, 2020
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