Are you interested in the field of deep learning? Here is a short and useful Review of Deep Learning A-Z Hands-On Artificial Neural Networks.
If you are an intermediate-level person who knows the basics of deep learning and machine learning, including classical algorithms like linear regression or logistic regression and more advanced topics like artificial neural networks, but who wants to learn more about it and explore all the different fields of deep learning,.
This is one of the Best Seller courses on Udemy, where students enrolled in more than 291.3K+ with 34.9K+ reviews and 4.6 average star ratings. With this top-selling deep learning tutorial, you will learn how to create deep learning algorithms in Python from two machine learning and data science experts.
Review of Deep Learning A-Z Hands-On Artificial Neural Networks
Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors, and Google Deepmind’s AlphaGo beat the world champion at Go, a game where intuition plays a key role.
But the further AI advances, the more complex the problems it needs to solve. And only deep learning can solve such complex problems, and that’s why it’s at the heart of artificial intelligence.
1. What should learn about this highest-selling Deep Learning AZ course?
Learn the intuition behind artificial neural networks, convolutional neural networks, recurrent neural networks, self-organizing maps, AutoEncoders, and Boltzmann machines.
Relate Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Self-Organizing Maps, Boltzmann Machines, and AutoEncoders in practice.
2. What is included in this Deep Learning A-Z Hands-On Artificial Neural Networks Syllabus?
1 Part: Artificial Neural Networks
- ANN Intuition
- Building an ANN
- Homework Challenge – Should we say goodbye to that customer?
- Evaluating, Improving, and Tuning the ANN
- Homework Challenge – Put me one step down on the podium
2 Part: Convolutional Neural Networks
- CNN Intuition
- Building a CNN
- Homework – What’s that pet?
- Evaluating, Improving, and Tuning the CNN
3 Part: Recurrent Neural Networks
- RNN Intuition
- Building an RNN
- Evaluating, Improving, and Tuning the RNN
4 Part: Self-Organizing Maps
- SOMs Intuition
- Building a SOM
- Mega Case Study4
5 Part: Boltzmann Machines
- Boltzmann Machine Intuition
- Building a Boltzmann Machine
6 Part: AutoEncoders
- AutoEncoders Intuition
- Building an AutoEncoder
Annex – Get the Machine Learning Basics
Regression and Classification Intuition
Data Preprocessing Template
Classification Template
Bonus Lectures
3. Who is the target audience for the Deep Learning A-Z course?
- This course is intended for the person interested in deep learning with at least high school knowledge in math and who wants to start learning deep learning AZ.
- If you are uncomfortable with coding but interested in deep learning and want to apply it easily to datasets in real-life projects.
- Want to start a career in data science or data analysis, or want to become a data scientist?
- For business owners to leverage the Exponential technology of Deep Learning in their business
- Entrepreneurs who want to disrupt an industry using the most cutting-edge Deep Learning algorithms
4. Who are the Instructors of this best Deep Learning A-Z Course?
Kirill Eremenko, a data scientist and forex systems expert with a 4.5 average rating and 130,872+ reviews. He has 501,458 students and 38 courses.
Hadelin de Ponteves, is an artificial intelligence (AI) entrepreneur with a 4.5 average rating and 65,396+ reviews. He had more than 332,720+ students and 13 courses.
The SuperDataScience Team has 120,535+ reviews and 465,456+ students with a 4.5 average rating. They help data scientists succeed in the data science field.
5. Why should you take this Deep Learning A-Z online course?
The top 5 reasons you should take the Deep Learning A-Z course, which is different and stands out from the crowd of other training programs out there:
- Robust Structure
- Intuition Tutorials
- Exciting Projects
- Hands-On Coding
- In-Course Support
Final Word
The Best Deep Learning AZ course has been designed in such a way that the instructors share their knowledge and help students learn complex theories, algorithms, and coding libraries in a simple way.
Furthermore, the course is packed with practical exercises that are based on real-life examples. Along with the theory, you will also learn hands-on practice for building your models.
In conclusion, Review of Deep Learning A-Z Hands-On Artificial Neural Networks assists you with an exciting training program filled with intuition tutorials, practical exercises, and real-world case studies.
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