Mastering Deep Learning Fundamentals with Python: The Absolute Ultimate Guide for Beginners To Expert

You to participate in the revolution that brings artificial intelligence back to the heart of our society, thanks to data scientists.

Data science consists in translating problems of any other nature into quantitative 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 learning
Neural Networks and Deep Learning
Deep Learning Parameters and Hyper-parameters
Deep Neural Networks Layers
Deep Learning Activation Functions
Convolutional Neural Network
Python Data Structures
Best practices in Python and Zen of Python
Installing Python
Python

These are some of the topics covered in this book:

fundamentals of deep learning
fundamentals of probability
fundamentals of statistics
fundamentals of linear algebra
introduction to machine learning and deep learning
fundamentals of machine learning
fundamentals of neural networks and deep learning
deep learning parameters and hyper-parameters
deep neural networks layers
deep learning activation functions
convolutional neural network
Deep learning in practice (in jupyter notebooks)
python data structures
best practices in python and zen of python
installing python