AI | Data Science & Machine Learning | Deep Learning Introduction & Overview | NGI Technologies

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  • Опубликовано: 9 фев 2025
  • Deep Learning Overview
    Deep Learning is a subset of Machine Learning that involves algorithms inspired by the structure and function of the brain called Artificial Neural Networks. It is particularly powerful for tasks involving large amounts of data and complex patterns. Here are some key aspects:
    Neural Networks
    Neurons: Basic units that receive input, process it, and pass it to the next layer.
    Layers: Composed of an input layer, one or more hidden layers, and an output layer.
    Activation Functions: Functions like ReLU, Sigmoid, and Tanh that introduce non-linearity into the model.
    Types of Neural Networks
    Convolutional Neural Networks (CNNs): Used primarily for image processing and computer vision tasks.
    Recurrent Neural Networks (RNNs): Effective for sequential data like time series and natural language processing.
    Generative Adversarial Networks (GANs): Consist of a generator and discriminator to create realistic data.
    Autoencoders: Used for unsupervised learning tasks like anomaly detection and data compression.
    Key Concepts
    Backpropagation: Algorithm for training neural networks by minimizing the error through gradient descent.
    Epochs and Batches: Iterations over the dataset and subsets of data processed at once.
    Overfitting and Regularization: Techniques like dropout and L2 regularization to prevent the model from memorizing training data.
    Applications
    Computer Vision: Image and video recognition, object detection, and segmentation.
    Natural Language Processing (NLP): Language translation, sentiment analysis, and chatbots.
    Speech Recognition: Converting spoken language into text.
    Recommendation Systems: Suggesting products, content, or services based on user behavior.
    Deep Learning has revolutionized many fields by enabling machines to perform tasks that were previously considered difficult or impossible for computers.
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