Source: analyticsinsight.net
While deep learning is viewed as a small part of the field of artificial intelligence, it’s now a field that is by all accounts growing out of the AI space itself. Deep learning is the advancement of ‘thinking’ computer systems, called neural networks, and using it requires coding procedures unfamiliar to old-school developers. With the assistance of deep learning, we can show our computers to learn for themselves such that it gives us noteworthy outcomes. Furthermore, you get the opportunity to be at the front line, as experts in profound learning are required now like never before.
If you want to learn deep learning and don’t know where to start, we’ve compiled a list of free online courses that can help you learn deep learning.
Creative Applications of Deep Learning with TensorFlow
This course covers the essential segments of deep learning. What it implies, how it works, and creating necessary code to build different algorithms, for example, deep convolutional networks, variational autoencoders, generative adversarial networks, and recurrent neural networks. A significant offering of this course will be to not just see how to build the fundamental segments of these algorithms, yet in addition how to apply them for exploring creative applications. Free and paid choices are available.
Best Deep Learning Course (deepLearning.ai)
This is without a doubt one of the best deep learning affirmations with Andrew Ng himself teaching the subject. The Co-Founder of Global Learning Platform Coursera, Andrew has been the head of Google Brain and Baidu AI group before. Going along with him are teachers from leading institutes like Stanford. In this certification course, you will find out about the foundations of Deep Learning, realize how to build neural networks and understand about machine learning ventures. There will be real time case studies including sign language reading, music generation and natural language processing among others. Alongside all the theory, you will be educated to implement these ideas in Python and TensorFlow.
Deep Learning for Business by Yonsei University
Offered by Yonsei University, Deep Learning for Business shows the nuts and bolts of deep learning and how to implement it in your organization to accelerate outcomes. You will learn how to make business strategies that encourage technical planning on new machine learning and deep learning products.
The course starts with an overview of deep learning products and services, trailed by a module on business with deep learning and machine learning. It additionally covers deep learning Computing Systems and Software, deep learning Neural Networks and deep learning with CNN and RNN. The course finishes with a module on TensorFlow Playgrounds. There’s no expense to learn and you can finish the course in 8 hours.
Deep Learning Certification by IBM (edX)
All through this expert certificate program, you will learn and gain pro Deep Learning abilities through a series of hands-on tasks and projects. Accessible on famous elearning stage edX, the course will come full circle into a Deep Learning capstone project that will help you grandstand your applied abilities to prospective employers. In addition to other things, you will learn central ideas of Deep Learning, including different Neural Networks for both supervised and unsupervised learning. You will likewise figure out how to build and send various types of Deep Architectures including Convolutional Networks, Recurrent Networks just as Autoencoders.
Introduction to Deep Learning by the National Research University Higher School of Economics
Prologue to Deep Learning is the initial segment of the Advanced Machine Learning Specialization from the National Research University Higher School of Economics. It’s intended to assist you with understanding the basics of current neural networks and their application in computer vision and natural language.
The class incorporates video talks, readings and tests. It comprises of 5 modules:
- Introduction to optimization
- Deep learning for images
- Introduction to neural networks
- Deep learning for sequences
- Unsupervised representation learning
You will likewise be entrusted with finishing a task to showcase what you learned in the course.
Complete Guide to TensorFlow for Deep Learning Training with Python (Udemy)
Jose Marcial Portilla has a MS from Santa Clara University and has been teaching Data Science and programming for various years now. His Tensorflow Certification will assist you with figuring out how to utilize Google’s Deep Learning Framework – TensorFlow with Python. He will likewise show you how you can utilize TensorFlow for Image Classification with Convolutional Neural Networks, how to do time series analysis with Recurrent Neural Networks and instruct you to take care of unsupervised learning problems with AutoEncoders. This training has been visited by nearly 20,000 students and has exceptional reviews and ratings.
Applied AI with Deep Learning
Applied AI with Deep Learning is the third course in Advanced Data Science with IBM Specialization. Data Scientist Romeo Kienzler imparts his experience in the field to offer essential insights into deep learning. He covers a few core subjects, including deep learning frameworks, applications, scaling and deployment.
Past the video lectures used to present the material, you’ll be needed to finish readings and tests. The readings supplement the guidance given in the exercises and tests help recognize areas where you may require more work.
Register for free, and you should expect to go through 18 hours working through the course material.
Deep Learning – Google via Udacity
In this course, you’ll build up a clear understanding of profound learning, and build intelligent systems that learn from complex and additionally huge datasets. You will figure out how to tackle new classes of issues that were once thought restrictively challenging, and come to better appreciate the complex nature of human insight as you take care of these equivalent issues easily utilizing deep learning techniques.
Deep Learning Nano Degree Program (Udacity)
People who need to study how to build and apply their own deep neural networks to different issues like image classification and generation, time-series prediction, and model deployment can take help from this nano degree program. This program is exceptionally made for students who are keen on making a profession in machine learning, artificial intelligence, or deep learning. Taking a crack at this program will acquaint you with Deep Learning algorithms, neural networks, and deploying a sentiment analysis model. In the wake of completing the program with given tasks and projects, you will get a certificate of completion that can be shared with your resume and employers.
Natural Language Processing with Deep Learning – Stanford University
The course gives a careful prologue to forefront research in deep learning applied to NLP. On the model side we will cover representations, window-based neural networks, recurrent neural networks, long-short-term-memory models, recursive neural networks, convolutional neural networks as well as some ongoing models including a memory part. Through video lectures and programming tasks students will gain proficiency with the essential designing stunts for making networks work on practical problems