Machine learning projects for beginners, final year students, and professionals. The list consists of guided projects, tutorials, and example source code.
Transfer learning: Take the knowledge of NN learned for task A and apply that knowledge to task B Examples 已经训练了一个cat recognition的NN,然后将该NN的knowledge or part of the knowledge 运用到 x-ray scans (x射线扫描图) 已经在训练集({images,objects})上训练了一个小猫识别的NN transfer to ...
After your project administrator creates an Azure Machine Learning image data labeling project or an Azure Machine Learning text data labeling project, you can use the labeling tool to rapidly prepare data for a Machine Learning project. This article describes: How to access your labeling projects ...
A method including receiving an input and embedding the input into a first data structure that defines first relationships among images and texts. The method also includes comparing the first data structure to an index including a second data structure that defines second relationships among pre-...
Machine Learning in Action(机器学习实战). Contribute to carrotlib/MachineLearning development by creating an account on GitHub.
Deep_Learning看ch04的two_layer_net還有dataset。參考連結點此 Yurei's Demo Code Keras Demo Code fran's review_TwoLayerNN_demo. Feel free to contact me with any questions and further details. Week 17: Introduction to Inner Product Space and Hash Table Yurei&Fran (10/1) Inner Product ...
Visual interpretability of bioimaging deep learning models The success of deep learning in analyzing bioimages comes at the expense of biologically meaningful interpretations. We review the state of the art of explainable artificial intelligence (XAI) in bioimaging and discuss its potential in hypothesis...
After all, collections contain many images, from photographs, paintings and videos to engravings and other types of illustrations. If AI enables computers to think, computer vision enables them to see, observe and understand - and organise! What type of machine learning is out there? Bohyun Kim...
Reusability report: Deep learning-based analysis of images and spectroscopy data with AtomAI Vashishtha and colleagues test and reuse AtomAI, a machine learning framework developed for analysing microscopy data, for a range of materials characterization tasks. ...
✕ Google iscalling the feature“cinematic photos.” Essentially, the feature will “use machine learning to predict an image’s depth and produce a 3D representation of the scene—even if the original image doesn’t include depth information from the camera.” Google will then apply a small...