Tag: artificial intelligence
Total: 27 Posts
Posts of Tag: artificial intelligence
  1. 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
  2. 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
  3. Object Detection and Instance Segmentation in Python with Detectron2

    .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
  4. Image Classification with Transfer Learning in Keras - Create Cutting Edge CNN Models

    Introduction Deep Learning models are very versatile and powerful - they're routinely outperforming humans in narrow tasks, and their generalization power is increasing at a rapid rate. New models are being rel...Learn More
    PythonMachine LearningImageDeep Learningartificial intelligencekerastensorflow
  5. Machine Learning: Overfitting Is Your Friend, Not Your Foe

    Note: These are the musings of a man - flawed and prone to misjudgement. The point of writing this is to promote a discussion on the topic, not to be right or contrarian. If an...Learn More
    PythonMachine Learningartificial intelligencekerastensorflow
  6. Keras Callbacks: Save and Visualize Prediction on Each Training Epoch

    Introduction Keras is a high-level API, typically used with the Tensorflow library, and has lowered the barrier to entry for many and democratized the creation of Deep Learning models and systems. When just sta...Learn More
    PythonMachine Learningdata scienceartificial intelligencekerastensorflow
  7. Hands-On House Price Prediction - Deep Learning in Python with Keras

    In this short series of guides, we'll be taking a look at a hands-on house price prediction. We'll be using Keras, the deep learning API built on top of TensorFlow to train a neural network to predict the price...Learn More
    PythonMachine Learningdata scienceartificial intelligencekerastensorflow
  8. Scikit-Learn's train_test_split() - Training, Testing and Validation Sets

    Introduction Scikit-Learn is one of the most widely-used Machine Learning library in Python. It's optimized and efficient - and its high-level API is simple and easy to use. Scikit-Learn has a plethora of conve...Learn More
    PythonMachine LearningValidationscikit-learndata scienceartificial intelligencetesting
  9. Guide to Multidimensional Scaling in Python with Scikit-Learn

    Introduction In this guide, we'll dive into a dimensionality reduction, data embedding and data visualization technique known as Multidimensional Scaling (MDS). We'll be utilizing Scikit-Learn to perform Mult...Learn More
    PythonMachine Learningscikit-learndata scienceartificial intelligencedata visualization
  10. Self-Organizing Maps: Theory and Implementation in Python with NumPy

    Introduction In this guide, we'll be taking a look at an unsupervised learning model, known as a Self-Organizing Map (SOM), as well as its implementation in Python. We'll be using an RGB Color example to train ...Learn More
    PythonMachine Learningdata scienceartificial intelligencenumpytheory
  11. Random Projection: Theory and Implementation in Python with Scikit-Learn

    Introduction This guide is an in-depth introduction to an unsupervised dimensionality reduction technique called Random Projections. A Random Projection can be used to reduce the complexity and size of data, ma...Learn More
    PythonMachine Learningscikit-learndata scienceartificial intelligencenumpytheory
  12. Minimax with Alpha-Beta Pruning in Python

    Minimax with Alpha-Beta Pruning in Python Introduction Way back in the late 1920s John Von Neumann established the main problem in game theory that has remained relevant still today: Players s1, s2, ..., sn ar...Learn More
    PythonAlgorithmGameartificial intelligence