Tag: Deep Learning
Total: 15 Posts
Posts of Tag: Deep Learning
  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 5-Line GPT-Style Text Generation in Python with TensorFlow/Keras

    .lazyload-placeholder { display: none; } Transformers, even though released in 2017, have only started gaining significant traction in the last couple of years. With the proliferation of the technology through ...Learn More
    PythonMachine LearningDeep Learningkerastensorflownlp
  8. Transformer Token and Position Embedding with Keras

    .lazyload-placeholder { display: none; } Introduction There are plenty of guides explaining how transformers work, and for building an intuition on a key element of them - token and position embedding. Position...Learn More
    PythonMachine LearningDeep Learningkerastensorflownlp
  9. Split Train, Test and Validation Sets with Tensorflow Datasets - tfds

    Introduction Tensorflow Datasets, also known as tfds is is a library that serves as a wrapper to a wide selection of datasets, with proprietary functions to load, split and prepare datasets for Machine and Deep...Learn More
    PythonMachine LearningDeep LearningValidationdata sciencetensorflow
  10. 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
  11. Deep Learning in Keras - Building a Deep Learning Model

    Deep Learning in Keras - Building a Deep Learning Model Introduction Deep learning is one of the most interesting and promising areas of artificial intelligence (AI) and machine learning currently. With great a...Learn More
    PythonMachine LearningDeep Learningartificial intelligencekerasai
  12. Translating Strings in Python with TextBlob

    Translating Strings in Python with TextBlob Introduction Text translation is a difficult computer problem that gets better and easier to solve every year. Big companies like Google are actively working on impro...Learn More
    PythonStringMachine LearningDeep Learningainlp