E-Books →Mastering Deep Learning Fundamentals with Python

You to participate in therevolution that brings artificial intelligenceback to the heart of our society, thanks to data scientists.
Data science consists in translating problems of any other nature intoquantitative modeling problems, solved by processing algorithms.
This book, designed for anyone wishing to learn Deep Learning. This book presents the main techniques: deep neural networks, able to model all kinds of data, convolution networks, able to classify images, segment them and discover the objects or people who are there, recurring networks,it contains sample code so that the reader can easily test and run the programs.
On the program:Deep learningNeural Networks andDeep LearningDeep Learning Parameters andHyper-parametersDeep NeuralNetworks LayersDeep Learning Activation FunctionsConvolutionalNeural NetworkPythonData StructuresBest practices inPython and Zen of PythonInstalling PythonPython
These are some of the topics covered in this book:fundamentals ofdeep learningfundamentals of probabilityfundamentals ofstatisticsfundamentals of linear algebraintroduction tomachine learning and deep learningfundamentals ofmachine learningfundamentals of neural networks and deep learningdeep learning parameters and hyper-parametersdeep neural networks layersdeep learningactivation functionsconvolutional neural networkDeep learning in practice(in jupyter notebooks)python data structuresbest practices in python and zen of pythoninstalling python
The following are the objectives of this book:To help youunderstand deep learningin detailTo help you know how to get started withdeep learning in Pythonby setting up the coding environment.To help you transition from adeep learning Beginnerto a Professional.To help you learn how to develop a complete and functionalartificial neural networkmodel in Pythonon your own.And more