O’Reilly Fundamentals of Deep Learning VS A.I. Experiments by Google

O’Reilly Fundamentals of Deep Learning

Designing next-generation Artificial intelligence algorithms

A.I. Experiments by Google

Explore machine learning by playing w/ pics, music, and more

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2021-07-27

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2023-09-22

O’Reilly Fundamentals of Deep Learning

Website: shop.oreilly.com

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A.I. Experiments by Google

Website: experiments.withgoogle.com

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O’Reilly Fundamentals of Deep Learning features and specs

No features have been listed yet.

A.I. Experiments by Google features and specs

Accessibility
A.I. Experiments by Google make AI technologies accessible to a broader audience, including non-experts, through interactive and user-friendly interfaces.
Innovation
The platform encourages creativity and innovation by allowing users to experiment with cutting-edge AI technologies in novel and unexpected ways.
Education
These experiments serve as educational tools, providing insight into how AI works and its potential applications, thereby demystifying complex AI concepts.
Community Engagement
The experiments foster a sense of community by inviting users to share their creations and learn from others' projects, encouraging collaboration and peer learning.
Diverse Applications
Google's AI Experiments showcase a wide range of applications, demonstrating the versatility of AI across different domains such as art, music, and everyday tasks.

Possible disadvantages of A.I. Experiments by Google

Limited Depth
While the experiments are engaging, they may offer limited depth in functionality and scope, potentially oversimplifying complex AI concepts for advanced users.
Resource Intensive
Some experiments may require robust computing resources or high-speed internet, which could be a barrier for users with older devices or limited connectivity.
Privacy Concerns
Users might have privacy concerns regarding data usage and storage, particularly with experiments that require access to personal information or media.
Lack of Practical Applications
While many experiments are intriguing, they may not always translate into practical or real-world applications, limiting their long-term usefulness for some users.
Dependency on Google's Ecosystem
As these experiments are hosted on Google's platform, users might find themselves dependent on Google's ecosystem, which may raise concerns over data control and vendor lock-in.

Category Popularity

0-100% (relative to O’Reilly Fundamentals of Deep Learning and A.I. Experiments by Google)

O’Reilly Fundamentals of Deep Learning

A.I. Experiments by Google

12 12%

88% 88

Data Science And Machine Learning

25 25%

Data Science And Machine Learning

75% 75

Developer Tools

5 5%

Developer Tools

95% 95

Machine Learning

100 100%

Machine Learning

0% 0

User comments

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Social recommendations and mentions

Based on our record, A.I. Experiments by Google seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

O’Reilly Fundamentals of Deep Learning mentions (0)

We have not tracked any mentions of O’Reilly Fundamentals of Deep Learning yet. Tracking of O’Reilly Fundamentals of Deep Learning recommendations started around Mar 2021.

A.I. Experiments by Google mentions (5)

I asked an A.I. language model to write a conversation between two stoners after smoking DMT
Try this: https://experiments.withgoogle.com/collection/ai. Source: over 2 years ago
Google Says AI Generated Content Is Against Guidelines
But Google has a whole set of AI writing tools - https://experiments.withgoogle.com/collection/ai So by their own definition they are producing spam? - Source: Hacker News / about 3 years ago
[D] Do you know any tools (libraries/frameworks) that are intuitive enough for teenagers for a practical introduction to AI?
Https://experiments.withgoogle.com/collection/ai might also help (I haven't used this IRL). Source: over 3 years ago
"RTX ON" ruined public perception of the biggest gaming advancement in a decade
It's hard to imagine you've not seen Google's doodle guessing training (or their other experiments) but it's just another example of how little information you actually need to create a recognizable image, though Canvas also shows this off, but it has the benefit of material information. Source: over 3 years ago
[D] Researching with no affiliations to any Universities/Academic organizations?
To come back to your original question, as far as I'm aware anyone can publish on arxiv or researchgate. People will just tend to take you less serious. Maybe a better solution for you is something like this https://experiments.withgoogle.com/collection/ai . You already said you think your idea might be industry changing so if it truly is, I'm sure people will start noticing you. Source: about 4 years ago