English Keras-focused deep learning book with notebooks; choose if you prefer the Keras API and English content.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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- MIT
deep learning education / TensorFlow 2.0 book
An open-source Chinese book for learning deep learning with TensorFlow 2.0, combining theory with hands-on code examples.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
English Keras-focused deep learning book with notebooks; choose if you prefer the Keras API and English content.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Chinese translation of the classic Deep Learning textbook; choose for theory over practical TF2 examples.
Deep Learning Book Chinese Translation
Interactive multi-framework deep learning book in Chinese; choose for broader coverage and community maintenance.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
English PDF of the classic deep learning theory book; choose for a theoretical reference instead of TF2 practice.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
English interactive deep learning book with multi-framework code; a solid general alternative to the TF2-specific book.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Video course plus notebooks for TensorFlow deep learning; choose for a guided video-based path.
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Beginner video and notebook course for TensorFlow/Keras; a practical alternative for self-paced learning.
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Older introductory tutorial with Keras and TensorFlow; still useful for legacy TF1-era learning but stale.
Introduction to Deep Neural Networks with Keras and Tensorflow
Older Chinese TensorFlow 2.0 tutorial series; still works for TF2 basics but outdated.
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials
Narrow, code-focused tutorials on image classification and detection; choose if your focus is computer vision.
deep learning for image processing including classification and object-detection etc.
Older Chinese TF2 tutorial series; simpler and shorter than the seed but stale.
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
These projects were analysed and named Deep-Learning-with-TensorFlow-book among their alternatives. The relationship is not symmetric — how Deep-Learning-with-TensorFlow-book rates them is a separate judgement, made when Deep-Learning-with-TensorFlow-book is analysed in its own right.
calls Deep-Learning-with-TensorFlow-book “choose for a TensorFlow 2.0 Chinese deep learning book with code examples.”
Deep Learning Book Chinese Translation
calls Deep-Learning-with-TensorFlow-book “Companion code for a TensorFlow 2 DL book; use for modern TF examples.”
Code samples for my book "Neural Networks and Deep Learning"
calls Deep-Learning-with-TensorFlow-book “when you specifically want TensorFlow 2.0 hands-on examples; it is old and unmaintained.”
✅(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
calls Deep-Learning-with-TensorFlow-book “choose it for a Chinese TF2-based deep learning book code repo, now stale.”
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
calls Deep-Learning-with-TensorFlow-book “choose for a Chinese TensorFlow 2.0-based intro book; it is older and framework-specific compared to the seed.”
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 Deep-Learning-with-TensorFlow-book “TensorFlow 2 Chinese-language beginner book; choose it for a code, framework-specific tutorial if you don't need the full theory.”
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
calls Deep-Learning-with-TensorFlow-book “Full TF2-based book, thorough but outdated (TF2.0 era).”
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
calls Deep-Learning-with-TensorFlow-book “Chinese deep-learning book with TF2 case studies; choose for book-depth treatment, but it is outdated.”
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials