Tag: keras
Total: 23 Posts
Posts of Tag: keras
  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. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. Autoencoders for Image Reconstruction in Python and Keras

    Autoencoders for Image Reconstruction in Python and Keras Introduction Nowadays, we have huge amounts of data in almost every application we use - listening to music on Spotify, browsing friend's images on Inst...Learn More
    PythonMachine LearningImagekeras
  10. Deep Learning in Keras - Data Preprocessing

    Deep Learning in Keras - Data Preprocessing Introduction Deep learning is one of the most interesting and promising areas of artificial intelligence (AI) and machine learning currently. With great advances in t...Learn More
    PythonMachine Learningdata scienceartificial intelligencekerasai
  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. Time Series Analysis with LSTM using Python's Keras Library

    Time Series Analysis with LSTM using Python's Keras Library Introduction Time series analysis refers to the analysis of change in the trend of the data over a period of time. Time series analysis has a variety ...Learn More
    PythonMachine LearningkerasLSTM