Google's TensorFlow is an open-source and most popular deep learning library for research and production. This ebook covers basics to advance topics like linear regression, classifier, create, train and evaluate a neural network like CNN, RNN, auto encoders etc. Refer these machine learning tutorial, sequentially, one after the other, for maximum efficacy of learning.

Key Highlights of TensorFlow Tutorial PDF are

  • 365+ pages
  • eBook Designed for beginners
  • Beautifully annotated screenshots
  • You will get lifetime access

Inside this PDF

  1. What is Deep learning?
  2. Machine Learning vs Deep Learning
  3. What is TensorFlow?
  4. Comparison of Deep Learning Libraries
  5. How to Download and Install TensorFlow Windows and Mac
  6. Jupyter Notebook Tutorial
  7. Tensorflow on AWS
  8. TensorFlow Basics: Tensor, Shape, Type, Graph, Sessions & Operators
  9. Tensorboard: Graph Visualization with Example
  10. NumPy
  11. Pandas
  12. Scikit-Learn
  13. Linear Regression
  14. Linear Regression Case Study
  15. Linear Classifier in TensorFlow
  16. Kernel Methods
  17. TensorFlow ANN (Artificial Neural Network)
  18. ConvNet(Convolutional Neural Network): TensorFlow Image Classification
  19. Autoencoder with TensorFlow
  20. RNN(Recurrent Neural Network) TensorFlow

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