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…
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