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The best courses, training, tutorials and certifications to lead you to a better career. Choose what fits you best and learn it thoroughly. This is undoubtedly one of the most sought after deep learning certifications with Andrew Ng himself teaching the subject.
All in all, we have no doubt in proclaiming this as the Best Deep Learning Certification out there. There will be real time case studies including sign language reading, music generation and natural language processing among others.
Along with all the theory, you will be taught to implement these concepts in Python and TensorFlow. You can Sign up Here. Course content is very good. He has a knack for uncomplicating an otherwise complex subject matter.
Highly recommended for anyone who is trying to understand the fundamentals of neural networks and deep learning. In this deep learning certification by Microsoft, you will learn an intuitive approach to building complex models that help machines solve real problems. You will need to have basic programming skills, working knowledge of data science before signing up in order to make the most of this program.
He will also teach you how you can use TensorFlow for Image Classification with Convolutional Neural Networks, how to do time series analysis with Recurrent Neural Networks and teach you to solve unsupervised learning problems with AutoEncoders. This training has been attended by close to 20, students and has got remarkable reviews and ratings.
Review — Excellent course. Portilla sets a pedagogical curve. Good foundation to a broad array of well-established and cutting-edge topics, and many useful external resources provided. A whooping 72, students have attended this training course on Deep Learning. Kirill Eremenko, Hadelin de Ponteves and the SuperDataScience Team, they are pros when it comes to matters of deep learning, data science and machine learning.
Even basic high school level mathematics is enough for you to get started with this course and in the 23 hours of on demand video , the trainers will take you through all the necessary knowledge and information required by you to become proficient at deep learning. This is ideally one of the best deep learning course you will find out there.
Review — Very nice course! These two instructors know how to explain difficult concepts in simple terms. Kirill is an intuition god, and Hadelin explains every single line of code as you go through the examples. I feel comfortable enough to apply what I learned in this course in my own project. I definitely recommend this course to anyone who wants to understand the basic deep learning concepts and how they are implemented in the real world.
The trainer is a data scientist, big data engineer as well as a full stack software engineer. He has a masters degree in computer engineering with a specialization in machine learning and pattern recognition. With a CV like that, you should already feel assured with the quality of teaching for this deep learning program.
At 6 hours, this is a good crash course for those with not enough time on their hands. Review — Instructor explains things vividly and with detail unlike some other instructors of machine learning. I recommend this course for serious data scientists. In this deep learning training spanning 7. You will have to install Theano and TensorFlow before or during the training. Review — Clear and consistent. Goes over enough of the pre-requisites each course to refresh and remind the student of the foundations and then breaks new ground.
The trainer will teach you about how deep learning really works and how a neural network is built from basic building blocks. There is a live project which is a part of the course to help you implement what you learn in real time. Review — This is a very honest course taught by somebody who clearly understands the subject in great depth. As somebody who has been playing around with Keras, Scikit learn and Tensorflow for over a year, I have learned a huge amount through implementing models taught in this course just using Python.
Know all there is to know about the simple recurrent unit Elman unit , GRU gated recurrent unit , LSTM long short-term memory unit and also figure out how to write various recurrent networks in Theano in this course around recurrent neural networks in Python.
To take up this program, you should know about backpropagation, understand Calculus and Linear Algebra. I really like the emphasis on the math: So that was our take on the Best Deep Learning courses, tutorials, certifications and training, specially for Since all these courses can be attended online, you have the benefit of carrying on learning from just about anywhere on the planet.
We wish you all the best in your career! Join our mailer to join the gang. Digital Defynd has 94 posts and counting. See all posts by Digital Defynd. January 11, April 12, Digital Defynd Views. Deep Learning Certification by Andrew Ng from deeplearning. Deep Learning Certification from Microsoft 3.
Hands-On Artificial Neural Networks 5. Modern Deep Learning Course in Python 7. Deep Learning Tutorial in Python 8.
Recurrent Neural Networks in Python.