Key Highlights of TensorFlow Tutorial PDF

  • 365+ pages
  • eBook Designed for beginners
  • Beautifully annotated screenshots
  • You will get lifetime download access of this TensorFlow PDF

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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.

Inside this PDF

Section 1- Introduction

  1. What is Deep learning? (First Chapter FREE)
  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

Section 2- Advanced Stuff

  1. Tensorboard: Graph Visualization with Example
  2. NumPy
  3. Pandas
  4. Scikit-Learn
  5. Linear Regression
  6. Linear Regression Case Study
  7. Linear Classifier in TensorFlow
  8. Kernel Methods
  9. TensorFlow ANN (Artificial Neural Network)
  10. ConvNet(Convolutional Neural Network): TensorFlow Image Classification
  11. Autoencoder with TensorFlow
  12. RNN(Recurrent Neural Network) TensorFlow

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