My trip towards Google Tensorflow Certificate

Hello, I'm Joseph Konka, Data Enthousiast. In this repository, I share the projects I work on during the preparation of the Google Tensorflow Certificate. I you have any question feel free to reach me.
Regards.

These notebooks have been created using Python >=3.8.8 and Tensorflow >=2.4.1.

Contents

• Part 1: Build and train neural network models using TensorFlow 2.x
  • 1.1: Linear regression (Football players values)
  • 1.2: Iris flowers classification
• Part 2: Image classification
  • 2.1: MNIST
  • 2.2: Cifar10
  • 2.3: Cifar100
  • 2.4: Flowers
• Part 3: Natural language processing (NLP)
  • 3.1: Sentiments analysis (Positive or Negative)
  • 3.2: Text classification (Multi classes, per Topics)
  • 3.3: Text generation
  • 3.4: Image Annotation
• Part 4: Time series, sequences and predictions
  • 4.1:
  • 4.2:
  • 4.3:

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