Tag: Deep Learning
Posts of Tag: Deep Learning
  1. Introduction to Deep Learning

    **Introduction to Deep Learning** Here you will get an introduction to deep learning. Deep learning is also known as hierarchical learning. It is used for interpretation of information processing and communicat...Learn More
    Machine LearningDeep LearningDev
  2. Difference between Deep Learning and Machine Learning

    **Difference between Deep Learning and Machine Learning** Here you will learn about difference between deep learning and machine learning. We already are aware of the term and in brief that Deep Learning is the...Learn More
    Machine LearningDeep LearningDev
  3. Deep Learning Models in Keras - Exploratory Data Analysis (EDA)

    Deep Learning Models in Keras - Exploratory Data Analysis (EDA) Introduction Deep learning is one of the most interesting and promising areas of artificial intelligence (AI) and machine learning currently. With...Learn More
    PythonkerastensorflowMachine Learningaiartificial intelligenceDeep LearningProgramming LanguagesDev
  4. 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
    PythonaiMachine LearningDeep LearningnlpStringProgramming LanguagesDev
  5. 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 Learningaiartificial intelligencekerasProgramming LanguagesDev
  6. 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
    Pythonartificial intelligenceMachine LearningtensorflowkerasDeep LearningImageProgramming LanguagesDev
  7. 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 Learningtensorflowdata scienceDeep LearningValidationProgramming LanguagesDev
  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 LearningtensorflownlpkerasDeep LearningProgramming LanguagesDev
  9. 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 LearningtensorflownlpkerasDeep LearningProgramming LanguagesDev
  10. 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
    Pythonartificial intelligenceMachine Learningcomputer visionpytorchDeep LearningObjectProgramming LanguagesDev
  11. 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
    Pythonartificial intelligenceMachine Learningcomputer visionpytorchDeep LearningObjectProgramming LanguagesDev
  12. 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
    Pythonartificial intelligenceMachine LearningpytorchDeep LearningnumpyArrayProgramming LanguagesDev