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An Easy Introduction To AI And Deep Learning

Deep learning isn't just about helping computers learn from data—it's about helping those machines determine what's important in those datasets.

  • Expired Deal
  • Deep Learning
  • Tensorflow
  • AI Course
  • Machine Learning
  • Neural Networks
  • Beginner

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An Easy Introduction To AI And Deep Learning one-time plans on StackSocial
AI And Deep Learning
IncludesLifetime Access; Certification Included; 8.5 hours content; Web streaming; For Intermediate

What is An Easy Introduction To AI And Deep Learning?

Description

Deep learning isn't just about helping computers learn from data—it's about helping those machines determine what's important in those datasets. This is what allows for Tesla's Model S to drive on its own and for Siri to determine where the best brunch spots are. Using the machine learning workhorse that is TensorFlow, this course will show you how to build deep learning models and explore advanced AI capabilities with neural networks.

- Access 62 lectures & 8.5 hours of content 24/7 - Understand the anatomy of a TensorFlow program & basic constructs such as graphs, tensors, and constants - Create regression models w/ TensorFlow - Learn how to streamline building & evaluating models w/ TensorFlow's estimator API - Use deep neural networks to build classification & regression models

Instructor

Loonycorn is comprised of a couple of individuals —Janani Ravi and Vitthal Srinivasan—who have honed their tech expertise at Google and Stanford. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

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An Easy Introduction To AI And Deep Learning questions

What does this course cover?

It is an introductory course to deep learning using TensorFlow. Over 62 lectures and roughly 8.5 hours of content you learn the fundamentals of TensorFlow graphs, tensors, constants, regression models, the estimator API, and how to build classification and regression models with deep neural networks.

Is this course still available to purchase?

The lifetime deal through GrabLTD and StackSocial has expired and is no longer sold. The course material itself may appear on other platforms, but not at the original deal price.

What prior knowledge do I need?

The course is aimed at beginners to deep learning, not absolute programming beginners. Basic Python familiarity is helpful since TensorFlow uses a Python API. No prior ML experience is required.

Who created this course?

The course was produced by Loonycorn, a team of Janani Ravi and Vitthal Srinivasan, who have backgrounds from Google and Stanford. They have published dozens of technical courses on StackSocial and related platforms.

How does TensorFlow compare to other frameworks for beginners?

TensorFlow is the most widely deployed deep learning framework in production environments, making it a practical first choice. PyTorch has grown in research popularity but TensorFlow's Keras API keeps it accessible for beginners.

What are the best alternatives for learning AI and deep learning today?

DeepLearning.AI's TensorFlow Developer Specialization on Coursera (by Laurence Moroney) is the most recommended beginner path. Fast.ai's Practical Deep Learning for Coders is a popular free alternative. Both are actively maintained.

Is deep learning still relevant given newer AI tools like LLMs?

Yes — large language models are themselves built on deep learning architectures. Understanding neural network fundamentals remains directly applicable even as the tooling has advanced.

Often compared with

These are other tools in the same space, not deals on GrabLTD.

  • Coursera (DeepLearning.AI TensorFlow Developer Specialization)
  • Fast.ai
  • Kaggle Learn
  • Google Machine Learning Crash Course
  • edX (MIT MicroMasters in Statistics and Data Science)

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