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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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A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.

machine-learning tutorial deep-neural-networks computer-vision deep-learning pytorch image-classification object-detection image-segmentation vlm google-colab zero-shot-detection yolov5 zero-shot-classification yolov8 open-vocabulary-detection open-vocabulary-segmentation automatic-labeling-system qwen paligemma
  • Updated Nov 7, 2025
  • 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

aurimas13 / Machine-Learning-Goodness

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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
Image-Generation-Using-GAN-Gen-AI-Project-

abhi227070 / Image-Generation-Using-GAN-Gen-AI-Project-

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Gen AI uses GANs to generate CIFAR-10-like images. The custom GAN model comprises a Generator and a Discriminator. Users can train the model and generate images using Jupyter Notebooks or Google Colab.

deep-neural-networks deep-learning generative-adversarial-network generative-model generative-art image-generation deeplearning generative-ai generative-ai-projects image-generation-ai
  • Updated Mar 30, 2024
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YasinRezvani / Hands_On_Machine_Learning_and_Deep_Learning_with_Python

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Jupyter notebooks for practicing Python data analysis and visualization with Matplotlib, NumPy, Pandas, SciPy, Seaborn, Keras, TensorFlow, and PyTorch.

python machine-learning deep-neural-networks deep-learning neural-network numpy machine-learning-algorithms image-processing artificial-intelligence image-recognition matplotlib keras-tensorflow pytorch-cnn pytorch-implementation yasin rezvani yasin-rezvani-github yasin-rezvani
  • Updated Mar 31, 2025
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