T81-558: Keras - Applications of Deep Neural Networks @washington University in St. Louis
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Updated
May 4, 2024 - Jupyter Notebook
T81-558: Keras - Applications of Deep Neural Networks @washington University in St. Louis
A MNIST-like fashion product database. Benchmark 👇
all kinds of text classification models and more with deep learning
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network…
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Udacity Self-Driving Car Engineer Nanodegree projects.
Techniques for deep learning with satellite & aerial imagery
A High-Quality Real Time Upscaler for Anime Video
VIP cheatsheets for Stanford's CS 230 Deep Learning
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Best Practices, code samples, and documentation for Computer Vision.
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
A best practice for tensorflow project template architecture.
TensorFlow Tutorials
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
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