Independently published, 2018. — 364 p. — ISBN: 1720092257.
Tensorflow is the most popular Deep Learning Library out there. It has fantastic graph computations feature which helps data scientist to visualize his designed neural network using TensorBoard. This Machine learning library supports both Convolution as well as Recurrent Neural network. It supports parallel processing on CPU as well as GPU. Prominent machine learning algorithms supported by TensorFlow are Deep Learning Classification, wipe & deep, Boston Tree amongst others. The book is very hands-on and gives you industry ready deep learnings practices.
What is Deep learning?
Machine Learning vs Deep Learning
What is TensorFlow?
Comparison of Deep Learning Libraries
How to Download and Install TensorFlow Windows and Mac
Jupyter Notebook Tutorial
Tensorflow on AWS
TensorFlow Basics: Tensor, Shape, Type, Graph, Sessions & Operators
Tensorboard: Graph Visualization with Example
NumPy
Pandas
Scikit-Learn
Linear Regression
Linear Regression Case Study
Linear Classifier in TensorFlow
Kernel Methods
TensorFlow ANN (Artificial Neural Network)
ConvNet (Convolutional Neural Network): TensorFlow Image Classification
Autoencoder with TensorFlow
RNN (Recurrent Neural Network) TensorFlow