Developer · Lifetime deal
Advanced Deep Learning With Neural Networks
Work as a deep learning developer would be infinitely harder without TensorFlow.
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Prices in USD, excluding tax.
| Advanced Deep Learning | |
|---|---|
| Includes | Lifetime Access; Certification Included; 3.5 hours content; Web streaming; For all levels |
What is Advanced Deep Learning With Neural Networks?
Description
Work as a deep learning developer would be infinitely harder without TensorFlow. Created by Google in 2015, this open-source software library makes it easier for developers to design, build, and train deep learning models. Using TensorFlow, this course will guide you through Convolutional Neural Networks and Recurrent Neural Networks, cutting-edge tools in image recognition, language modeling, and working with high-frequency data.
- Access 28 lectures & 3.5 hours of content 24/7 - Use TensorFlow to work w/ convolutional & recurrent neural networks - Learn how neural networks contribute to image recognition & language modeling - Explore real-world deep learning examples via lab lessons
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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Is this course still available?
The lifetime deal sold through StackSocial is archived and no longer available at that price. The Loonycorn deep learning content is still accessible on Udemy and at loonycorn.com.
What did this course cover?
The course used TensorFlow to teach Convolutional Neural Networks (CNNs) for image recognition and Recurrent Neural Networks (RNNs) for language modeling and high-frequency data. It included real-world lab-based deep learning examples.
Who taught this course?
The course was by Loonycorn, the teaching brand of Janani Ravi and Vitthal Srinivasan — both Stanford alumni with experience at Google (Janani spent 7 years there) and other Bay Area tech companies.
How long is the course?
The course contains 28 lectures and approximately 3.5 hours of video content — making it a concise but focused advanced course.
What Python library does the course use?
The course is built around TensorFlow, the open-source library created by Google in 2015. All examples are implemented in TensorFlow.
Who is this course best suited for?
Developers and data scientists who already understand basic machine learning and want to apply deep neural networks to image recognition and language modeling using TensorFlow.
What are the best alternatives for learning deep learning with TensorFlow today?
TensorFlow's own free documentation and tutorials at tensorflow.org are excellent starting points. The Coursera Deep Learning Specialization by Andrew Ng covers similar ground at depth. Fast.ai's Practical Deep Learning course is free and highly regarded. DeepLearning.AI's TensorFlow Developer Professional Certificate is another structured option.
Often compared with
These are other tools in the same space, not deals on GrabLTD.
- Coursera Deep Learning Specialization (Andrew Ng)
- fast.ai Practical Deep Learning
- DeepLearning.AI TensorFlow Developer Certificate
- TensorFlow official tutorials
