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Deep Learning in Python

Duration: 6 months

Content:

  • What is Deep Learning
  • AI vs ML vs DL
  • Applications:
    • Computer Vision
    • Natural Language Processing
    • Recommendation Systems
  • Overview of:
    • TensorFlow
    • PyTorch
  • Neural Network Fundamentals
  • Introduction to Keras (high-level API in TensorFlow)
  • Building first neural network
  • Sequential & Functional API
  • Model compilation & training
  • Model evaluation
  • Dense Neural Networks (ANN)
  • Regularization techniques:
    • Dropout
    • Batch Normalization
  • Callbacks (EarlyStopping, ModelCheckpoint)
  • Saving & loading models
  • Tensors and operations
  • Autograd (automatic differentiation)
  • Building neural networks using torch.nn
  • Training loop implementation
  • Model evaluation
  • Convolutional Neural Networks (CNN)
  • Image preprocessing
  • Using:
    • OpenCV
  • Pre-trained models (Transfer Learning)
  • Natural Language Processing (NLP)
  • Saving models (TensorFlow SavedModel / PyTorch .pt)

General Course (Offline batch Only): ₹45000

Private Classroom (Online / Offline): ₹45000

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