Deep Learning with Real-World Projects

Want to become a good data scientist? Then this is the right course for you.

This course has been designed by IIT professionals who have mastered mathematics and data science. We will be covering complex theory, algorithms, and coding libraries in a very simple way that can be easily grasped by any beginner.

We will walk you step-by-step into the world of deep learning. Each video seeks to improve your understanding of the challenging field of Deep Learning from a beginner to an advanced level.

We will cover artificial neural networks, feedforward networks, backpropagation, regularization, convolution neural networks, practical on CNN, two real-world projects for CNN, transfer learning, recurrent neural networks, advanced RNN, a case study on NLP (Natural Language Processing), generate automatic programming code, and build a solid foundation for Python and machine learning.

We will be solving a few real-world projects during this course and their complete solutions are also provided so that students can easily implement what has been taught.

By the end of the course, you will be able to use Python’s deep learning algorithms in real life.

All the codes and supporting files for this course are available at: https://github.com/packtpublishing/deep-learning-with-real-world-projec…

Type
video
Category
publication date
2019-07-12
what you will learn

Learn to use Matplotlib for data visualization
Learn to use Seaborn for statistical plots
Learn to use NumPy and Pandas for data analysis
Learn all the mathematics required to understand deep learning algorithms
Learn all statistical principles and become a deep learning expert
Learn end to end data science solutions

duration
2071
key features
A practical course with multiple real-life projects in deep learning * All advanced level deep learning algorithms and techniques like regularizations, dropout, and more * Implement deep learning algorithms along with mathematic intuitions
approach
In this hands-on course, we will be covering complex theory, algorithms, and coding libraries in a simple way that can be easily grasped by any beginner. We will also be solving a few real-world projects during this course and their complete solutions are also provided so that students can easily implement what has been taught.
audience
A beginner in Python or any other object-oriented programming language should find this course helpful. Those who are already working on analytics and machine learning models and looking to leverage deep learning technologies to improve their problem-solving capacity should benefit from this course. Working professionals looking for a career transition to data science roles will be able to upskill.
meta description
Learn how to use Python to implement deep learning algorithms along with mathematical concepts as you progress from beginner to master level
short description
You will learn Python-based deep learning and machine learning techniques through this course. With numerous real-world case studies, we will go over all the mathematics needed to master deep learning algorithms. We will study Backpropagation, Feed Forward Network, Artificial Neural Networks, CNN, RNN, Transfer Learning, and more.
subtitle
Master Deep Learning Algorithms Using Python from Beginner to Super Advance Level Including Mathematical Insights
keywords
Tensor Flow, Keras, CNN, RNN,Machine Learning, AI
Product ISBN
9781838985721