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1. Neural Networks and Deep Learning
Provider- deeplearning.ai
Instructor- Andrew Ng, Younes Bensouda Mourri, Kian Katanforoosh
Rating- 4.9/5
Time to Complete- 20 hours
This course is the part of Deep Learning Specialization program. And I think this is the best course to begin your deep learning journey.
2. Deep Learning– Udacity
Rating- 4.7/5
Time to Complete- 4 months (If you spend 12 hours per week)
This Nano-Degree program from Udacity will give you a complete understanding of Deep Learning. In this program, you will build convolutional networks for image recognition, recurrent networks for sequence generation, generative adversarial networks for image generation.
3. Deep Learning A-Z™: Hands-On Artificial Neural Networks– Udemy
Rating- 4.5/5
Time to Complete- 22.5 hours
This is another best courses to learn deep learning. In this course, you will learn Artificial neural networks, convolutional neural networks, recurrent neural networks, self-organizing maps, Boltzmann machines, AutoEncoders, and the basics of regression and classification.
4. Intro to Deep Learning with PyTorch– Udacity FREE Courses
Time to Complete- 2 Months
Rating- NA
This is a free deep-learning online course. In this course, there are 9 lessons. The course begins with the neural network and PyTorch basics.
5. Introduction to Deep Learning & Neural Networks with Keras– Coursera
Rating- 4.7/5
Provider- IBM
Time to Complete- 8 hours
This course is best for beginners who are planning to start their careers in deep learning. In this course, you will learn the basics of deep learning and get to know about deep learning and artificial neural networks.
6. Deep Neural Networks with PyTorch– Coursera
Rating- 4.4/5
Provider- IBM
Time to Complete- 31 hours
This is a very informative course offered by IBM. In this course, you will learn how to build deep learning models by using PyTorch. This course contains a lot of content that is simple and easy to understand.
7. Intro to TensorFlow for Deep Learning– Udacity FREE Course
Time to Complete- 2 months
Rating- NA
In this course, first, you will learn machine learning basics. After that, you will be introduced to the Fashion MNIST dataset and understand the neural network.
8. Introduction to Deep Learning-edX
Time to Complete- 16 weeks
Rating- NA
You will learn the types of neural networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks, Bias, and Discrimination in Machine Learning.
9. Deep Learning in Python– Datacamp
Time to Complete- 20 hours
Type- Skill Track
This is a skill track offered by Datacamp. In this skill track, there are 5 courses. In these 5 courses, you will learn the fundamentals of neural networks, and how to use deep learning with Keras 2.0, TensorFlow 2.4, and PyTorch.
10. Deep Learning: Convolutional Neural Networks in Python– Udemy
Rating- 4.7/5
Time to Complete- 12 hours
This course is focused on Convolutional Neural networks (CNN), a powerful algorithm of Deep Learning. In this course, you will learn the fundamentals of CNN and how to build a CNN using Tensorflow 2.
11. Convolutional Neural Networks– Coursera
Rating- 4.9/5
Provider- deeplearning.ai
Time to Complete- 20 hours
This course will teach you the key features and concepts that are required to build CNN(convolutional neural network). In this course, you will learn how to apply convolutional networks to visual detection and recognition tasks.
12. Complete Guide to TensorFlow for Deep Learning with Python– Udemy
Rating- 4.5/5
Time to Complete- 14 hours
In this course, you will learn how to use Google’s TensorFlow framework to create artificial neural networks for deep learning. This course will also provide complete Jupyter Notebook guides of code.
13. Deep Learning with Python and PyTorch- edX
Provider- IBM
Time to Complete- 6 Weeks
After gaining PyTorch basics from PyTorch Basics for Machine Learning course, this course will teach you how to build deep neural networks in PyTorch. And how to apply methods such as dropout, initialization, different types of optimizers, and batch normalization.
14. Introduction to Deep Learning– Coursera
Provider- National Research University Higher School of Economics
Rating- 4.6/5
Time to Complete- 34 hours
This course is the part of Advanced Machine Learning Specialization program. In this course, you will learn the fundamentals of modern neural networks and their applications in computer vision and natural language understanding.
15. Introduction to Deep Learning with PyTorch– DataCamp
Time to Complete- 4 hours
This course will teach how you can use PyTorch to learn deep learning basics, then you will build your first neural network to predict digits from the MNIST dataset. After this, you will learn about convolutional neural networks. This course will also teach you how to use CNN to build more powerful models that give more accurate results.
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