Vizuara

Subscribers 212K

Videos 1K

Views 49.9M

Channels Like Vizuara

Vizuara offers tutorials focused on neural networks and Python-based implementations, evidenced by lecture-style videos such as neural network fundamentals, activation functions, backpropagation, and cross-entropy loss. The channel emphasizes hands-on coding and from-scratch explanations, with an educational tone inspired by AI startup origins and academic alumni. They publish a high-volume library of content, averaging around 23.4K views per video, with 1000 videos published since joining in 2021, and a recent sequence of lectures ranging from 13 to 44 minutes.

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Similar Channels

We found 48 YouTube channels similar to Vizuara

#1

3Blue1Brown view on YouTube

86% relevance

Subscribers 8.2M

Videos 229

Views 727.0M

Appearances 37

SERP 100%

Similarity 77%

neural networks basics neural networks from scratch python neural networks

High search overlap on neural networks basics and related topics (100% search) with a strong content alignment (77%), making them similar in subject but 3Blue1Brown’s visual-mathematical style differs from Vizuara’s presentation approach.

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IBM Technology YouTube channel thumbnail

#2

IBM Technology view on YouTube

64% relevance

Subscribers 1.6M

Videos 1.5K

Views 108.6M

Appearances 26

SERP 58%

Similarity 68%

neural networks basics neural networks from scratch python neural networks

Shared interest in neural networks basics and Python-based implementations (search 58% and content 68%), indicating overlapping audience and topics, though IBM Technology tends to be more enterprise-focused in production-scale examples.

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StatQuest with Josh Starmer YouTube channel thumbnail

#3

StatQuest with Josh Starmer view on YouTube

64% relevance

Subscribers 1.6M

Videos 293

Views 89.3M

Appearances 24

SERP 54%

Similarity 70%

neural networks basics activation functions tutorial backpropagation tutorial

Significant overlap on neural networks basics and backpropagation-themed queries (search 54% for basics; content 70% for backprop topics), reflecting a common educational goal but StatQuest emphasizes concise, rigor-focused explanations.

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#4

DataMListic view on YouTube

56% relevance

Subscribers 52.2K

Videos 482

Views 5.4M

Appearances 12

SERP 27%

Similarity 75%

activation functions tutorial cross entropy loss chain rule neural networks

Overlap on activation functions, loss concepts, and chain rule usage (content 75%), showing alignment on core ML concepts but DataMListic covers a broader mix of tutorials beyond Vizuara’s likely style.

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#5

Green Code view on YouTube

54% relevance

Subscribers 210K

Videos 41

Views 9.5M

Appearances 7

SERP 29%

Similarity 70%

neural networks basics neural networks from scratch python neural networks

Similar focus on neural networks basics and from-scratch/python workflows (search 29–?%, content 70%), indicating audience interest in practical implementation, albeit Green Code’s videos may differ in depth and format.

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#6

Adian Liusie

53% relevance

Subscribers 4.9K

Videos 6

Views 449.7K

Appearances 3

SERP 18%

Similarity 76%

cross entropy loss loss function intuition softmax cross entropy

Overlap centered on loss-related topics (cross entropy, loss function intuition, softmax cross entropy) with high content alignment (76%), signaling shared emphasis on loss functions despite potential stylistic differences.

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Content Landscape

Top competitors include 3Blue1Brown (86% match) and IBM Technology (64% match). 3Blue1Brown aligns on neural networks basics and from-scratch concepts, while IBM Technology overlaps on neural networks basics and from-scratch topics and Python neural networks; both are larger than Vizuara, with 8.2M and 1.6M subscribers respectively. A third close match is StatQuest with Josh Starmer (64% match), which also covers neural networks basics, activation functions, and backpropagation. DataMListic (56% match) and Green Code (54% match) offer related queries like activation functions, cross entropy loss, and chain rule. Overall, competitors share queries around neural networks fundamentals and implementation details; Vizuara’s subscriber base (212K) is smaller than the top two, indicating room for growth in the same topic space.

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Video Highlights

Didn't Make the Cut

42 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	52%	CodeEmporium	76%	155K	16%	5
#8	52%	deeplizard	76%	168K	16%	8
#9	52%	Welch Labs	74%	860K	19%	8
#10	51%	DeepLearningAI	72%	664K	21%	13
#11	51%	Simplilearn	70%	6.1M	21%	9
#12	49%	codebasics	68%	1.5M	21%	10
#13	49%	Visually Explained	73%	82K	14%	5
#14	49%	Tutorial Horizon	77%	5.1K	7%	1
#15	48%	Artem Kirsanov	77%	350K	6%	5
#16	48%	Herman Kamper	77%	9.3K	5%	3
#17	48%	NeuralNine	72%	461K	11%	6
#18	48%	AssemblyAI	67%	180K	19%	6
#19	48%	AISolutions	76%	1.0K	6%	1
#20	47%	Learn With Jay	73%	50.1K	9%	5
#21	47%	Krish Naik	71%	1.4M	12%	8
#22	47%	Patrick Loeber	75%	293K	5%	3
#23	47%	3-Minute Data Science	73%	24.9K	9%	4
#24	47%	freeCodeCamp.org	74%	11.5M	7%	2
#25	47%	Weights & Biases	70%	64.5K	12%	10
#26	47%	Stanford Online	72%	1.1M	8%	6
#27	46%	Six Sigma Pro SMART	72%	38.4K	7%	1
#28	46%	MIT OpenCourseWare	72%	6.2M	6%	3
#29	45%	First Principles of Computer Vision	70%	92K	8%	5
#30	45%	Mahesh Huddar	67%	159K	11%	7
#31	45%	The Gradient Descent	71%	9.8K	5%	3
#32	44%	TWIML Community	70%	2.5K	6%	1
#33	44%	Steve Brunton	69%	510K	7%	3
#34	44%	Bro Code	68%	3.2M	7%	1
#35	44%	Telusko	70%	2.8M	5%	1
#36	44%	Gate Smashers	69%	2.6M	7%	7
#37	44%	eMaster Class Academy	70%	17K	5%	1
#38	43%	brAIn Tek	69%	5.5K	5%	3
#39	43%	Koolac	68%	13K	5%	1
#40	43%	Sebastian Lague	65%	1.4M	9%	4
#41	42%	aiyopasta	68%	13.4K	5%	1
#42	42%	Decomplexify	67%	89.6K	6%	1
#43	42%	Samson Zhang	63%	64K	12%	5
#44	42%	Professor Bryce	66%	54.4K	8%	2
#45	42%	Redian \| TopNotch Programmer	67%	40.5K	5%	1
#46	42%	Lightning AI	66%	12.7K	6%	3
#47	42%	Dev G	66%	35.8K	6%	1
#48	40%	Javier ideami	60%	3.9K	11%	9

Search Queries Used

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Frequently Asked Questions

Which YouTube channels are most similar to Vizuara?

3Blue1Brown — 86% match, 8.2M subscribers; IBM Technology — 64% match, 1.6M subscribers; StatQuest with Josh Starmer — 64% match, 1.6M subscribers. All three produce educational content focused on math, programming, and data science concepts, similar to Vizuara's neural network and coding tutorials.

What type of content does Vizuara make?

Vizuara creates technical tutorials on neural networks and Python coding, based on video titles such as Lecture 1: Neural Network from Scratch, Lecture 2: The beauty of numpy and dot product, and other coding-focused lessons. Uploads appear in a series format with multiple lectures (Lecture 1 through Lecture 5) and have an average of about 23.4K views per video.

How do we determine which channels are similar to Vizuara?

We analyze Vizuara's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

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