Category: Machine Learning
Total: 130 Posts
Posts of Category: Machine Learning
  1. Get Feature Importances for Random Forest with Python and Scikit-Learn

    .lazyload-placeholder { display: none; } Introduction The Random Forest algorithm is a tree-based supervised learning algorithm that uses an ensemble of predicitions of many decision trees, either to classify a...Learn More
    PythonMachine Learningscikit-learndata sciencematplotlibseaborn
  2. Real-Time Pose Estimation from Video in Python with YOLOv7

    .lazyload-placeholder { display: none; } Introduction Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". From it, keypoint detecti...Learn More
    PythonMachine LearningDeep Learningopencvpytorchcomputer visionyolo
  3. Instance Segmentation with YOLOv7 in Python

    .lazyload-placeholder { display: none; } Introduction Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". From it, instance segment...Learn More
    PythonMachine LearningDeep Learningpytorchcomputer visionyoloObject DetectionInstance Segmentation
  4. Understanding TensorFlow's @tf.function Decorator

    .lazyload-placeholder { display: none; } Introduction Improving the performance of a training loop can save hours of computing time when training machine learning models. One of the ways of improving the perfor...Learn More
    PythonFunctionMachine LearningDeep Learningtensorflow
  5. Real-Time Object Detection Inference in Python with YOLOv7

    .lazyload-placeholder { display: none; } Introduction Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". Object detection isn't as...Learn More
    PythonMachine LearningDeep Learningpytorchcomputer visionObjectyoloObject Detection
  6. Pose Estimation/Keypoint Detection with YOLOv7 in Python

    .lazyload-placeholder { display: none; } Introduction Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". Object detection isn't as...Learn More
    PythonMachine LearningDeep Learningpytorchcomputer visionyoloTorchvisionPose EstimationKeypoint Detection
  7. RandAugment for Image Classification with Keras/TensorFlow

    .lazyload-placeholder { display: none; } Data augmentation has, for a long while, been serving as a means of replacing a "static" dataset with transformed variants, bolstering the invariance of Convolutional Ne...Learn More
    PythonMachine LearningImageDeep Learningkerastensorflowcomputer vision
  8. What is 'from_logits=True' in Keras/TensorFlow Loss Functions?

    .lazyload-placeholder { display: none; } Deep Learning frameworks like Keras lower the barrier to entry for the masses and democratize the development of DL models to unexperienced folk, who can rely on reasona...Learn More
    PythonFunctionMachine LearningDeep Learningkerastensorflow
  9. Don't Use Flatten() - Global Pooling for CNNs with TensorFlow and Keras

    .lazyload-placeholder { display: none; } Most practitioners, while first learning about Convolutional Neural Network (CNN) architectures - learn that it's comprised of three basic segments: Convolutional Layer...Learn More
    PythonMachine LearningDeep Learningkerastensorflowcomputer vision
  10. Object Detection Inference in Python with YOLOv5 and PyTorch

    .lazyload-placeholder { display: none; } Introduction Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". On one end, it can be use...Learn More
    PythonMachine LearningDeep Learningpytorchcomputer visionObject
  11. Convert Numpy Array to Tensor and Tensor to Numpy Array with PyTorch

    .lazyload-placeholder { display: none; } Tensors are multi-dimensional objects, and the essential data representation block of Deep Learning frameworks such as Tensorflow and PyTorch. A scalar has zero dimensio...Learn More
    PythonArrayMachine LearningDeep Learningartificial intelligencenumpypytorch
  12. RetinaNet Object Detection with PyTorch and torchvision

    .lazyload-placeholder { display: none; } Introduction Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". On one end, it can be use...Learn More
    PythonMachine LearningDeep Learningartificial intelligencepytorchcomputer visionObject