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Deep Learning (TensorFlow / Keras)

24 hours

A hands-on introduction with TensorFlow/Keras — from neural network fundamentals to deep learning models for image and text data.

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Who It's For

Suitable for both academic researchers and corporate teams.

Prerequisites

  • The Machine Learning course or equivalent experience

Learning Outcomes

  • Building neural network architectures
  • Image classification with CNNs
  • Introduction to RNN/Transformer fundamentals
  • Model training and preventing overfitting

Program

1
Neural Network Fundamentals
  • Perceptron
  • Forward/backpropagation
2
Building Models with Keras
  • Layer design
  • Loss functions and optimization
3
CNN
  • Convolutional layers
  • Image classification
4
Advanced Topics
  • Introduction to RNNs/Transformers
  • Transfer learning

Tools Used

Python (TensorFlow, Keras) Google Colab

Frequently Asked Questions

Yes; the course uses Google Colab's free GPU, so it's no problem if your own hardware isn't powerful enough.

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