Armando Fandango: 5 books
Python: Advanced Guide to Artificial Intelligence
Expert machine learning systems and intelligent agents using Python
Language: English
Release Date: December 21, 2018
Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problems
Key Features
Master supervised, unsupervised, and semi-supervised ML algorithms and their implementation
Build deep learning models for object detection, image classification,...
by Armando Fandango
Language: English
Release Date: March 27, 2017
Language: English
Release Date: March 27, 2017
Learn how to apply powerful data analysis techniques with popular open source Python modules
About This Book
Find, manipulate, and analyze your data using the Python 3.5 libraries
Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
An...
Mastering TensorFlow 1.x
Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
Language: English
Release Date: January 22, 2018
Build, scale, and deploy deep neural network models using the star libraries in Python
Key Features
Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras
Build, deploy, and scale end-to-end deep neural network models in a production environment
Learn to deploy...
TensorFlow Machine Learning Projects
Build 13 real-world projects with advanced numerical computations using the Python ecosystem
Language: English
Release Date: November 30, 2018
Implement TensorFlow's offerings such as TensorBoard, TensorFlow.js, TensorFlow Probability, and TensorFlow Lite to build smart automation projects
Key Features
Use machine learning and deep learning principles to build real-world projects
Get to grips with TensorFlow's impressive range of module...
Hands-On Reinforcement Learning with PyTorch 1.0
Explore advanced deep learning techniques to build self-learning systems using PyTorch 1.0
Language: English
Release Date: February 11, 2020
Simplify artificial intelligence (AI) by designing and implementing self-learning agents using PyTorch
About This Book
Implement reinforcement learning(RL) algorithms to build your own self-learning agents
Understand how deep RL can be used in different segments of enterprise applications such...