Tensorflow

All about Tensorflow based on Coursera

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Table of Contents

• Table of Contents
• Progress
• Contributing

Progress

• Introduction to TensorFlow for AI, ML and DL
  • Week 1: A New Programming Paradigm
  • Week 2: Introduction to Computer Vision
  • Week 3: Enhancing Vision with Convolutional Neural Networks
  • Week 4: Using Real-World Images
• Convolutional Neural Networks in TensorFlow
  • Week 1: Exploring a Larger Dataset
  • Week 2: Augmentation, a Technique to Avoid Overfitting
  • Week 3: Transfer Learning
  • Week 4: Multi-class Classifications
• NLP with Tensorflow
  • Week 1: Sentiment in text
  • Word Embeddings
  • Sequence Models
  • Sequence Model and Literature
• Sequences, Time series and Prediction
  • Sequences and Prediction
  • Deep Neural Network for Time series
  • Recurrent Neural Network
  • Real-world time series data

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request