Deep Learning with Real World Projects

Preview this course

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.

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251 on-demand videos & exercises
Level: Intermediate
34hrs 31mins
Access on mobile, web and TV

What to know about this course

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:

Who's this course for?

  • 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.

What you'll 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.

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.

Course Curriculum

About the Author

Geekshub Pvt. Ltd.

Geekshub is an online education company in the field of big data and analytics. Their aim as a team is to provide the best skill-set to their customers to make them job-ready and prepare them to crack any challenge. They have the best trainers for cutting-edge technologies such as machine learning, deep learning, Natural Language Processing (NLP), reinforcement learning, and data science. Their instructors are people who graduated from IIT, MIT and Standford. They are passionate about teaching the topics using curated real-world case studies that calibrate the learning experience of students.

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