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  • Lectures: 4 Topics , 4 Sub Topics
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  • Language: English
  • Enrolled: 0 Students
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Level 11 — Deep Learning

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IT & Software
Instructor: Hamza Niaz
Last Update:Fri, 09-Aug-2024
Review: (0)

What will i learn?

  • Advanced Neural Network Architecture
  • Model Optimization & Tuning

  • Master advanced neural network architectures, deep learning principles, and modern AI frameworks using Python.

  • Build, train, and evaluate multilayer perceptrons, convolutional neural networks (CNNs), and recurrent neural networks (RNNs).

  • Implement hyperparameter tuning, optimization techniques, and regularization methods to enhance model performance.

  • Deploy production-ready deep learning models to solve complex, real-world computer vision and natural language processing problems.

    • Introduction to neural networks• Perceptron• Activation functions• Forward propagation• Backpropagation• Loss functions• Optimizers• Training

    • TensorFlow• Keras• PyTorch

    • Image classification• CNN• Transfer learning• Object detection• Text classification• RNN• LSTM• Transformers

    • Handwritten Digit Recognition• Image Classifier• Face Classification• Sentiment Analysis
    Title Lectures Price
    Inquiry Based Session-1 lesson 1 15$
    Regular Package/ 4 lesson 4 60$
    Standard Package/8 Lesson 8 102$
    Premium Package/12 12 144$
    Fast Track/16 Lesson 16 180$
    Regular Group 16 $
    Solid foundation in core Python programming, object-oriented concepts, and data structures.
    Familiarity with machine learning fundamentals, data preprocessing, and core libraries like NumPy and Pandas.

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    About The Instructor

    Instructor:Hamza Niaz
    Enrolled: 1 Students
    Courses:21 Courses
    Review: (0)

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