Top 15 YouTube Channels To Follow For Deep Learning Enthusiasts


Deep Learning is a subset of machine learning that encompasses neural networks that can learn from raw or unstructured data, much like humans. It’s used for speech recognition, machine translation, computer vision and natural language processing. Deep Learning is at the centre of exciting innovation possibilities like Self Driven Cars, Image recognition, virtual assistants, speech recognition, machine translation, computer vision and natural language processing. 

Deep learning models are transforming businesses by providing learning techniques and real-world solutions based on large data sets. It is a good to have skills for today’s machine learning job market. We have listed down the top 15 YouTube resources to learn deep learning for free. 

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Analytics India Magazine (AIM) 

AIM’s YouTube channel includes discussions on leading news, tips for the data ecosystem in India and a deep dive into concepts like AI/ML, deep learning and neural networks. The playlist ‘Geeks Corner’ includes several videos about core machine learning and deep learning concepts. 

Find the channel here. 

Subscriber count: 38.1k 

Krish Naik

Krish Naik is a co-founder of and specialises in machine learning, deep learning, and computer vision. He takes to his youtube channel to explain machine learning related topics with practical examples. Krish’s channel is a deep dive into all things AI/ML, perfect for beginners. His playlist on deep learning goes into the depths of the subject with several explainers, tutorials and practical applications videos. 

Find the playlist here. 

Subscriber count: 421k

Alexander Amini

Alexander Amini is a PhD candidate at MIT working on building machine learning algorithms for end-to-end control. The YouTube playlist consists of lecture videos from MIT’s course ‘Intro to Deep Learning’ that focuses on building a foundational knowledge of deep learning algorithms and getting practical experience building neural networks in TensorFlow. Alexander and other teaching assistants conduct lectures. 

Find the playlist here. 

Subscriber count: 112k

Alfredo Canziani

Hosted by Alfredo Canziani, a PhD in AI, his channel includes videos on theoretical and practical applications of deep learning. The playlist has recorded lectures from the deep learning course at NYU. Some of these lectures are conducted by Yann LeCun, the VP & chief AI scientist at Facebook Research.

Find the playlist here. 

Subscriber count: 23.9k 

Tubingen Machine Learning

The playlist consists of deep learning lectures by Prof. Andreas Geiger of the University of Tübingen. The course introduces the latest techniques in deep learning and representation learning, with a focus on supervised and unsupervised deep learning, embedding methods, metric learning, convolutional and recurrent nets, and applications to computer vision, natural language understanding, and speech recognition.

Find the playlist here. 

Subscriber count: 11.1k

Deep Learning AI

Deep Learning AI has free videos from the brand’s Coursera programme as well as recorded AI tutorials and careers events. Their Neural Networks and Deep Learning playlist is a compilation of short videos addressing different topics and applications. The channel is founded by Andrew Ng, founder and CEO of Landing AI, a company providing AI to other companies. He has work experience at Baidu, Google, and teaching experience at Stanford and Coursera. 

Find the playlist here. 

Subscriber count: 153k


Perfect for beginners, Sentdex features Python programming tutorials. One can learn about machine learning, data analysis, finance robotics, web development, etc., via this channel. Host and founder Harrison Kinsley is a serial entrepreneur and has founded several AI/ML and Data Analytics-businesses. He is a passionate teacher who wants to educate people about various technologies like Python Programming, algorithm workflow, Web development, and Machine Learning through his YouTube videos. 

Find the playlist here. 

Subscriber count: 1m

Jeremy Howard

Jeremy Howard is a data scientist, researcher, educator, and entrepreneur who founded, a research institute dedicated to making deep learning more accessible. Harbouring a deep passion for deep learning has led him to host several videos on the subject, ranging from easy explainer videos to upcoming developments. More specifically, his videos give an insight into deep learning models that are used in the field of computer vision. 

Find the playlist here. 

Subscriber count: 56k


Codebasics is handled by Dhaval Patel, a software engineer and instructor. He is currently working with Bloomberg LP. He teaches programming, data science, deep learning, data analytics, AI/ML, etc in an easy to understand, simple manner. His deep learning playlist covers neural networks for basics, maths, python/Keras/TensorFlow, CNN and RNN with practical exercises for each. 

Find the playlist here. 

Subscriber count: 381k

Deep Lizard

Run by Mandy and Chris, Deep Lizard videos explain complicated deep learning and ML topics in a simple way. Their series explains fundamental deep learning and artificial neural networks concepts- for beginners. This includes implementing these concepts in code using Keras, layers in a neural network, activation functions, backpropagation, convolutional neural networks (CNNs), data augmentation and transfer learning.The duo uses animations and short video clips to keep the viewers engaged. 

Find the playlist here. 

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Subscriber count: 104k

Abhishek Thakur

Abhishek Thakur claims to be the world’s first Kaggle 4x grandmaster and holds a masters degree in computer science. He currently works at hugging space, a company working on NLP problems and makes explanatory videos on applied ML, deep learning and data science. His research interests include automatic machine learning, deep learning, computer vision, image analysis and retrieval, and pattern recognition.

Find the playlist here

Subscriber count: 54k

Data School

Kevin Markham is the founder of and the owner of the YouTube channel Data School. He is a machine learning and python specialist and has worked as a data science instructor and developer. His YouTube channel for ML enthusiasts gives a comprehensive overview of data science in easy to understand language. 

Find the channel here. 

Subscriber count: 179k

Lex Fridman

Lex Fridman’s ML series is one of the most comprehensive informative series for machine learning on YouTube. Lex Fridman is an AI researcher for autonomous vehicles, human-robot interaction, and machine learning at MIT.

Along with explanatory courses, Alex gives insights from leading data scientists, interviewing AI/ML celebrities like Elon Musk, Nick Bostrom, Andrew Ng, Yann LeCun, Vladimir Vapnik etc. 

Find the playlist here. 

Subscriber count: 1.23m

Machine Learning with Phil

Phil Tabor is a machine learning engineer who also produces educational videos on machine learning and deep learning, hosted on his YouTube channel ‘Machine Learning with Phil’. His deep reinforcement learning tutorials playlist mentions the core concepts of reinforcement learning like deep deterministic policy gradients in TensorFlow 2, Soft actor-critics in PyTorch and Robotic Control with TD3. 

Find the playlist here. 

Subscriber count: 25k


Kaggle’s YouTube channel has explained videos along with interviews with data scientists, lessons, and insightful tips. Their crisp short videos give an overview of the tricks, experiments, and implementations of AI/ML practices. The channel also has “how-tos” coding tutorials on deep learning, building dashboards, and data processing.

Find the playlist here. 

Subscriber count: 89.7k

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