想到Deep Learning的时候会说现在Deep Learning与人的神经网络一样,仍是个黑盒子,未曾想15年的论文Deep Neural Networks are Easily Fooled[2]已经探索反向输出Neural Network学习的结果。 Google 15年的DeepDream Program已经开源了google/deepdream,有个哥们把自己的照片丢进去,最终生成: 某位老哥 我将斯嘉丽的照片丢...
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It's hard to imagine an industry that relies on images more than the fashion industry. Almost every process, from manufacturing to marketing, revolves around images. This chapter discusses methods for classifying images, developments in neural networks that have been improving these methods, and the...
你也可以将本视频视为 nanoGPT 代码库的构建过程,到最后约有 90% 的相似性。 相关链接: build-nanogpt GitHub 代码库(包含本视频中的所有变更,每个提交都单独记录): https://github.com/karpathy/build-nanogpt nanoGPT 代码库: https://github.com/karpathy/nanoGPT llm.c 代码库: https://github.com...
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Another application of neural networks is in face-recognition software. Computers can be trained to recognize a face by analyzing images and comparing positions of features such as eye corners, but neural networks can learn which features are most useful for matching a face to images in a databa...
The pathological identification of lymph node (LN) metastasis is demanding and tedious. Although convolutional neural networks (CNNs) possess considerable potential in improving the process, the ultrahigh-resolution of whole slide images hinders the development of a clinically applicable solution. We desig...
Using the latest Deep Convolutional Neural Networks, bigjpg intelligently reduces noise and serration in images. This allows the images to be enlarged without losing quality.See demo images Does bigjpg support API? Yes! You can find it after logging in. ...
Survey of Explainable AI Techniques in Healthcare 2023, Sensors Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review 2022, npj Digital Medicine Pneumonia Detection on Chest X-ray Images Using Ensemble of Deep Convolutional Neural Networks 2022, App...
deep neural networks:有多个隐藏层的神经网络 Overfitting 过拟化 dropout:随机选择节点,周期性移除,避免过于依赖某些特定节点 TensorFlow Computer Vision 计算机视觉 image convolution:图像卷积 使用一个过滤器,根据kernal matrix把每个像素点都赋值一个权重 降低输入大小 图像过滤:把图像中的不同曲线分离出来 feed-rewar...