The field of Artificial Intelligence is growing exponentially, and Deep Learning is a fundamental part of it. Because Deep Learning algorithms are the only ones that can solve complex problems, it’s essential to have a complete understanding of it. That’s where the course Deep Learning A-Z™ 2023: Neural Networks, AI & ChatGPT Bonus comes in.
Course Description
Deep Learning A-Z™ 2023: Neural Networks, AI & ChatGPT Bonus is a course that has been structured differently from other training programs. The first reason Deep Learning A-Z™ stands out is thanks to a robust structure. The course is divided into two volumes with six distinctive algorithms, representing both the Supervised and Unsupervised branches of Deep Learning.
Deep Learning A-Z™ takes a unique approach to teaching. Instead of bombarding you with complex theory, math, or coding, the course focuses on developing an intuitive understanding of the concepts that underlie Deep Learning algorithms. Instructors will guide you through templates included in Python, to ensure that you develop a good feel for the tutorials before moving on to the hands-on coding exercises.
Real-world datasets are used in Deep Learning A-Z™, and the course emphasizes how these datasets can be used to solve real-world business problems. The 2023 version of the course helps to build your skills from the ground up, offering hours and hours of practical hands-on coding experience, ensuring that you apply Deep Learning techniques early on in the course.
Topics Covered
The Deep Learning A-Z™ course covers a range of topics, including Artificial Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks. During the course, you will also explore Self-Organizing Maps and Boltzmann Machines and learn about the Stacked Autoencoders used to take on the challenge of the Netflix $1 million prize.
One of the significant benefits of Deep Learning A-Z™ is the access to both PyTorch and TensorFlow. Within the tutorials, you can compare both libraries and understand when to use Tensorflow and when to use PyTorch. Python is the language used throughout this course, and with each section, you will develop a global understanding of it, with a strong focus on hands-on practices.
Tools used in the course
The course utilizes numerous tools, making it especially valuable. Scikit-learn is used to preprocess data, improving learning conditions for models. Theano, Tensorflow, and PyTorch are the most popular Open-Source libraries for Deep Learning. The course covers everything from Data Manipulation with Pandas, high computations with Numpy, and Chart Plotting with Matplotlib. Keras is explored extensively, making it incredibly easy to implement Deep Learning models.
Deep Learning A-Z™ offers a unique approach to learning, ensuring that you are fully supported throughout. There is no need to worry about questions going unanswered as the course comes with in-course support. The course has professional data scientists available to answer your questions, ensuring that you’re never bogged down in confusing theory and make the most out of the hands-on practical experience offered.
Who is the Course for?
Deep Learning A-Z™ 2023: Neural Networks, AI & ChatGPT Bonus is suitable for both beginners and those with prior knowledge. For those just starting with Deep Learning, this course offers special coding blueprints, ensuring that you understand all concepts from the ground up, with a focus on application-based learning. For those with prior knowledge, Deep Learning A-Z™ 2023: Neural Networks, AI & ChatGPT Bonus offers a refreshing, inspiring, and highly practical approach, building on current knowledge and providing insights to explore new Deep Learning skills and applications.
Real-World Case Studies in the Course
The course includes six exciting challenges to apply your Deep Learning skills to real-world business challenges. One challenge includes solving a data analytics challenge for a bank on customer churn. You'll be given a dataset with a large sample of the bank's customers, and with an Artificial Neural Network, you will predict the probability of an individual customer churning out. By ranking all the customer churn probabilities, you’ll have the opportunity to help the bank significantly reduce churn rates.
The second challenge involves image recognition. You'll create a Convolutional Neural Network to detect objects in a set of pictures. With this technique, you can recognize and detect anything you want by changing the input folder images, making it highly versatile.
The Benefits of Deep Learning A-Z™ 2023: Neural Networks, AI & ChatGPT Bonus
Deep Learning A-Z™ 2023: Neural Networks, AI & ChatGPT Bonus provides a unique approach to learning. It is a suitable course for both beginners and those with prior knowledge of Deep Learning. The course is structured to offer hands-on coding and provides support via professional data scientists, ensuring that you understand each concept as it’s taught.
The course offers six real-world case studies, ensuring that you are prepared to take on the challenges of applying Deep Learning algorithms to real-world business cases.
Upon completing the Deep Learning A-Z™ course, you will be adequately prepared to apply your new knowledge and skills across a range of industries and technologies.
