Deep Learning

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    Deep Learning

    Deep Learning

    Requirements : Age 12+

    Duration : 32 hours ( 4 Months )

    What is this Course ?

    Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: learn by example.
    Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign, or to distinguish a pedestrian from a lamppost. It is the key to voice control in consumer devices like phones, tablets, TVs, and hands-free speakers. Deep learning is getting lots of attention lately and for good reason. It’s achieving results that were not possible before.

    Why this Course ?

    1. It can also prescribe medicine used in medication.
    2. Computer vision and pattern recognition
    3. Robotics — Deep Learning systems have been taught to play games and even made to taught WIN games.
    4. Facial recognition
    5. Precision agriculture
    6. Fashion technology
    7. Autonomous vehicles
    8. Drone and 3D mapping
    9. Post estimation in Sports analytics & Retail markets
    10. Security & Surveillance
    11. Satellite imagery
    12. Audio / Voice recognition
    13. Restoring sound in videos
    14. Text OCR on documents, Predicting the result of legal case a team of researchers from British and America builded a algorithm by feeding with few examples and factual information, that was able predict a court’s decision.
    15. Chatbots for sales & marketing


    • Keras
      1. Installation of keras library in Anaconda
      2. Keras -Time Series Prediction using LSTM RNN
      3. Keras Models
        1. Keras Model class
        2. Keras Sequential class
      4. Keras Layers
        1. Keras Core layers
        2. Convolutional layer
        3. Pooling layers
        4. Locally-Connected Layers
        5. Recurrent Layers
    • TensorFlow
    • A single Neuron
    • Deep Neural Networks
    • Convolutional Neural Networks
    • Recurrent Neural Networks
    • TensorFlow Visualisation
    • Single layer Perceptron
    • Multi-layer Perceptron learning
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