Top 7 Deep Learning YouTube Channels To Follow For Enthusiasts

We have listed down the top 7 YouTube resources and channels to learn deep learning for absolutely free.

Top 7 Deep Learning YouTube Channels To Follow For Enthusiasts

Deep learning is a subset of machine learning that, like humans, includes neural networks that can learn from raw or unstructured data. It is used in speech recognition, machine translation, computer vision, and natural language processing. Deep learning is at the heart of exciting and innovative capabilities such as autonomous vehicles, image recognition, virtual assistants, speech recognition, machine translation, computer vision, and natural language processing. Deep learning models are transforming businesses by providing learning methods and real-world solutions based on large data sets. It's good to have the skills in today's machine learning job market. We've listed the 7 best YouTube resources to learn deep learning for free.

1. Krish Naik

Krish Naik is the co-founder of, specializing in machine learning, deep learning, and computer vision. He explains machine learning topics with real-world examples on his YouTube channel. Krishna Channel is perfect for beginners with an in-depth analysis of everything AI/ML-related. The Deep Learning playlist contains several explanations, tutorials, and how-to videos.

Find the playlist here .

Subscriber count: 421k

2. Alexander Amini

Alexander Amini is a Ph.D. student at the Massachusetts Institute of Technology, working on creating machine learning algorithms for end-to-end control. The YouTube playlist consists of video lectures from the Massachusetts Institute of Technology's introductory deep learning course focused on building a basic knowledge of deep learning algorithms and gaining hands-on experience in building neural networks in TensorFlow. Alexander and other teachers give lectures.

Find the playlist here.

Subscriber count: 112k

3. Alfredo Canziani

His channel is hosted by Alfredo Canziani, Ph.D. in Artificial Intelligence, and offers videos on the theory and practical applications of deep learning. The playlist contains lectures from New York University's Deep Learning course. Some of these lectures are led by Yang Lekun, Vice President and Chief Artificial Intelligence Officer at Facebook Research.

Find the playlist here.

Subscriber count: 23.9k

4. Tubingen Machine Learning

The playlist consists of deep learning lectures by Professor Andreas Geiger of the University of Tübingen. This course introduces you to the latest deep learning and representative learning techniques with a focus on supervised and unsupervised deep learning, embedding techniques, metric learning, convolutional and iterative networks, computer vision, natural language understanding, and speech recognition applications.

Find the playlist here.

Subscriber count: 11.1k

5. Deep Learning AI

Deep Learning AI offers free videos from the brand's Coursera program, as well as recorded AI tutorials and career events. The Neural Networks and Deep Learning Playlist is a collection of short videos covering a variety of topics and applications. The channel was founded by Andrew Ng, founder, and CEO of Landing AI, a company that provides AI to other companies. He has teaching experience at Baidu, Google, and  Stanford, and Coursera.

Find the playlist here.

Subscriber count: 153k

6. Sentdex

Sentdex is ideal for beginners and includes Python programming tutorials. Through this channel, you can learn about machine learning, data analytics, financial robotics, web development, and more. Owner and founder Harrison Kinsley is a serial entrepreneur who founded several AI/machine learning and data analytics businesses. He is an avid educator who wants to teach various technologies such as Python programming, algorithmic workflow, web development, and machine learning through  YouTube videos.

Find the playlist here.

Subscriber count: 1M

7. Codebasics

Codebasics was developed by software engineer and instructor Dhawal Patel. He currently works with Bloomberg LP. He teaches programming, data science, deep learning, data analytics, AI/ML, and more in a simple and direct way. His Deep Learning playlist includes hands-on practice for everyone, including neural networks for basics, math, python/Keras/TensorFlow, CNNs and RNNs.

Find the playlist here.

Subscriber count: 381k

Do You Have Some More Best Suggestions? write it down in the comments box and we will review and add it ;)