6 Best Neural Networks Courses & Certification [2019] [UPDATED]

Best Neural Networks course tutorial class certification training online

20+ Experts have compiled this list of Best Neural Networks Course, Tutorial, Training, Class, and Certification available online for 2019. It includes both paid and free resources to help you learn Neural Networks and these courses are suitable for beginners, intermediate learners as well as experts.

5 Best Neural Networks Courses, Certification & Training Online [2019] [UPDATED]

 

1. Neural Networks Certification Course by deeplearning.ai (Coursera)

If you are looking forward to grasping the concepts of this cutting-edge technology then this course is worth a try. The curriculum is chalked out to cover the foundations of deep learning and how it actually works. Explore the concepts to build, train and apply fully connected deep neural networks and understand the key parameters in a neural network architecture. As this is an intermediate level program, therefore, basic python programming skills, practical knowledge of data structure and basic ML concepts are required.

 

Key USPs-

– Clear guidance is provided to go through with the necessary installations and setup of the technical environment.

– The first few lectures provide a brief introduction to the scope of the content covered in the classes.

– Practice with available code and solve assignments to enhance your problem-solving competence.

– Work on different real-world problems, and see how they can be solved with these AI technologies.

– Complete and pass all the graded assignments to earn the completion badge.

– With stellar reviews, this course is a crowd favorite.

 

Duration: 4 weeks of study, 3 to 6 hours a week

Rating: 4.9 out of 5

You can Sign up Here

 

 

2. Convolutional Neural Networks in TensorFlow (Coursera)

This specialization is designed to help you learn advanced techniques to improve computer vision models. Explore the techniques required to work with real-world images in different shapes and sizes. Visualize the journey of an image through convulations to understand how the computer sees information, plot loss, and accuracy and explore strategies to prevent overfitting, including augmentation and dropout. End the classes by getting an introduction to transfer learning and extracting learned features from models.

 

Key USPs-

– Clear guidance is provided to go through with the necessary installations and setup of the technical environment.

– The first few lectures provide a brief introduction to the scope of the content covered in the classes.

– Practice with available code and solve assignments to enhance your problem-solving competence.

– Work on different real-world problems, and see how they can be solved with these AI technologies.

– Complete and pass all the graded assignments to earn the completion badge.

 

Duration: 4 weeks of study, 4 to 5 hours a week

Rating: 4.8 out of 5

You can Sign up Here

 

Review : A patient and coherent introduction. At the end, you have good working code you can use elsewhere. Remarkably, the primary lecturer, Laurence Moroney, responds fairly quickly to posts in the forum. -CM

 

 

3. Neural Networks Degrees and Certifications (Coursera)

Coursera has compiled a list of over 50 certifications that will allow you to increase your proficiency level in the area of neural networks irrespective of your current experience level. The program sare divide on the basis of difficulty levels namely beginner, intermediate and advanced. Some of the top choices include neural networks deep learning, hyperparameter tuning, regularization and optimization, introduction to tensorflow and sequence models.

 

Key USPs-

– The beginner level programs require little or no prior experience in the content covered in the lessons.

– Take your pick fro specializations and individual courses.

– The instructors explain the ideas well and at a good pace with demonstrations.

– A wide variety of example helps you to get a clearer view of the topics.

– Complete the graded assessments to get the completion certificate.

 

Duration: Self-paced

Rating: 4.6 out of 5

You can Sign up Here 

 

 

4. Neural Network Tutorials (Udemy)

It is a fact that programming neural networks are a vital skill for developing new artificial intelligence solutions. So if you are interested in jumpstarting a career in this field then Udemy most certainly has the perfect series of programs to guide you. Hands-on artificial, convolutional, recurrent neural networks, zero to full real-world apps, the visual guide on how to learn from data are some of the most popular choices on this website. In case you are not sure about where to start, you can use the filters available on the platform to narrow down your choices.

 

Key USPs-

– Understand the intuition behind the topics covered.

– The complete set of lectures are broken into appropriate sections which makes it easy for the students to follow.

– Apply self-organizing maps, Boltzmann machines in practice.

– Work on real-world datasets to solve real-world business problems.

– Lectures + Downloadable resources + Articles + Full lifetime access

– Available at an affordable rate on Udemy.

 

Duration: Self-paced

Rating: 4.5 out of 5

You can Sign up Here

 

 

5. University Neural Network Programs (edX)

This e-learning platform brings you a series of online courses from top academic institutions of the world. Get introduced to the crucial concepts of this field and explore the topics in-depth. The classes will also help you with your coursework as well as to gain experience in problems faced in industrial scenarios. Some of the top choices are deep learning with tensorflow, using GPUs to scale and speed up, and simulation neuroscience.

 

Key USPs –

– Learn about the principles of the framework and understand how to approach a project.

– The platform consists of individual courses, micromasters program, professional certifications and more.

– Work on the quizzes and assignments to assess your grasp on the topics covered.

– Get complete guidance to perform all the necessary setup and installations.

– The interactive lessons make learning a fun experience.

– The study materials, videos, and exercises are available for free and the certification can be added for an additional fee.

 

Duration: Self-paced

Rating:  4.5 out of 5

You can Sign up Here

 

 

6. Neural Networks Course (Google)

Google brings you a crash course in neural networks consisting of a series of short videos that are designed to provide you an overview of this field of artificial intelligence. Throughout the classes, you will develop some intuition about hidden layers, activation functions and more. By the end of the lectures, you will have a basic understanding of this topic and be ready to take more advanced specializations.

 

Key USPs-

– The lessons are concise which makes it easy to understand for beginners.

– Go over the topics with visualizations.

– Elaborate text and diagrams are used to provide explanations for the concepts and formulas.

– Attempt the exercises and work on the case studies.

– Attend the lectures from the Google researchers.

 

Duration: Self-paced

Rating: 4.5 out of 5

You can Sign up Here 

 

So these were the 5 Best Neural Networks Tutorial, Class, Course, Training & Certification available online for 2019. Hope you found what you were looking for. Wish you a Happy Learning!