If you’re looking to dive into the world of machine learning projects but don’t know where to start, our data pro has curated 12 of the best ML projects.
Machine learning projects for beginners, final year students, and professionals. The list consists of guided projects, tutorials, and example source code.
Machine learning models represent an opportunity for the automatic generation of histopathology reports. Here, the authors develop HistoGPT, a vision language model that can generate reports from multiple gigapixel-sized whole slide images and also predict tumour thickness, subtypes, and margins, among ...
BiaPy: accessible deep learning on bioimages Daniel Franco-Barranco ,Jesús A. Andrés-San Román &Ignacio Arganda-Carreras Article|22 April 2025 Mapping effective connectivity by virtually perturbing a surrogate brain Neural Perturbational Inference is an approach for estimating effective connectivity, ...
An epoch in machine learning refers to one complete pass of the training dataset through a neural network, helping to improve its accuracy and performance.
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 ...
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here: http://www.packtpub.com/sites/default/files/downloads/ScalaMachineLearningProjects_ColorImages.pdf. 目录 上一章 下一章...
Machine Learning (ML) and remote sensing technology aids in many applications requiring large amounts of spectral and spatial data needed for pattern recog
Python is the lingua franca of machine learning projects. Not only a lot of machine learning libraries are in Python, but also it is effective to help us finish our machine learning projects quick and neatly. Having good Python programming skills can let you get more done in shorter time!
This python library helps you with augmenting images for your machine learning projects. It converts a set of input images into a new, much larger set of slightly altered images. ImageHeatmapsSeg. MapsKeypointsBounding Boxes Original Input Gauss. Noise+ Contrast+ Sharpen Affine Crop+ Pad ...