Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
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Updated
Dec 29, 2020 - Jupyter Notebook
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Collection of tensorflow notebooks tutorials for implementing some basic Deep Learning architectures.
Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)
Cambridge UK temperature forecast python notebooks
Jupyter notebooks containing explanation of Machine Learning Algorithms
Notebook and resources for https://predictiveprogrammer.com/famous-convolutional-neural-network-architectures-1/
Notebooks of programming assignments of CNN course of deeplearning.ai on coursera in September-2019
Switching from GPU to the future of Machine learning the TPU. Over 1 million images trained Resnet50 in under 20 mins compared to days or weeks on GPU and all for 0$ free on Google Colab Notebooks in Google Drive, clone repo and jump right in!!
VGG | Resnet | Alexnet | Squeezenet | Densenet | Inception
A Collection of Jupyter Notebooks with Deep Learning Models created using Pytorch for Computer Vision (Image Classification) problems trained on GPU.
A performance benchmark of recent image classification models in deep learning
Small and easily modifiable notebook to extract embeddings from pre trained resnet50
Notes and Jupyter notebooks exploring deep learning and Tensorflow framework
This repository includes jupyter notebooks on CNN for learning or training purposes.
Une série de notebooks qui expliquent en détail comment fonctionnent les modèles de diffusion
Morse Code Decoder & Detector with Deep Learning
ResNet models are lightweight computer vision pre-trained models. This notebook demostrates how to infer the object in a picture with ResNet18, ResNet34, ResNet50, ResNet101, and ResNet251.
Transforming agriculture with AI: Explore our GitHub for advanced plant disease detection. Utilizing top CNN models, we empower farmers with early diagnosis tools. Access notebooks, datasets, and a user-friendly web app. Join us in revolutionizing farming for a sustainable future
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