calls t81_558_deep_learning “A current, structured university course with notebooks and videos; choose for a systematic deep learning curriculum.”
TensorFlow Tutorials with YouTube Videos
t81_558_deep_learning is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named t81_558_deep_learning among their alternatives. The relationship is not symmetric — how t81_558_deep_learning rates them is a separate judgement, made when t81_558_deep_learning is analysed in its own right.
calls t81_558_deep_learning “A current, structured university course with notebooks and videos; choose for a systematic deep learning curriculum.”
TensorFlow Tutorials with YouTube Videos
calls t81_558_deep_learning “Choose when you want a Keras-focused applied deep learning course with self-contained notebooks instead of MIT 6.S191.”
Lab Materials for MIT 6.S191: Introduction to Deep Learning
calls t81_558_deep_learning “For a university Keras course with a more applied focus.”
A resource for learning about Machine learning & Deep Learning
calls t81_558_deep_learning “Choose for an applied, Keras-focused deep learning course with practical assignments if you want real-world applications.”
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
calls t81_558_deep_learning “choose when you want a Keras/TensorFlow university course with video lectures rather than a PyTorch-only handbook.”
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
calls t81_558_deep_learning “choose for a Keras-based practical course with real-world applications, not a general theory textbook.”
邱锡鹏《神经网络与深度学习》第二版与通识版:电子书、章节目录、学习资源与勘误。
calls t81_558_deep_learning “University course materials with Keras examples; choose if you prefer structured lectures and labs over a standalone book.”
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
calls t81_558_deep_learning “Choose for a deep-learning-focused course using Keras.”
The "Python Machine Learning (1st edition)" book code repository and info resource
calls t81_558_deep_learning “When you want a university Keras deep learning course with structured assignments, instead of the seed's less organized snippets.”
A collection of machine learning examples and tutorials.
calls t81_558_deep_learning “Choose it for Keras-based deep learning course materials with practical applications.”
Build your neural network easy and fast, 莫烦Python中文教学
calls t81_558_deep_learning “When your target stack is TensorFlow/Keras and you want a structured university course with notebooks.”
AI实战-practicalAI 中文版
calls t81_558_deep_learning “choose for a university-style deep-learning (Keras) course; narrower focus on neural networks.”
100 Days of ML Coding
calls t81_558_deep_learning “Use for Keras-focused applied deep learning, but it is narrower in theory and framework choice.”
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
calls t81_558_deep_learning “when you want a university deep-learning-only course (Keras) instead of a broad ML course.”
Open Machine Learning Course
calls t81_558_deep_learning “When you want university Keras course materials focused on applied deep learning.”
The "Python Machine Learning (2nd edition)" book code repository and info resource