Facebook has released #PyText — new framework on top of #PyTorch.
This framework is build to make it easier for developers to build #NLP models.
Link: https://code.fb.com/ai-research/pytext-open-source-nlp-framework/
🔗 Open-sourcing PyText for faster NLP development
We are open-sourcing PyText, a framework for natural language processing. PyText is built on PyTorch and it makes it faster and easier to build deep learning models for NLP.
This framework is build to make it easier for developers to build #NLP models.
Link: https://code.fb.com/ai-research/pytext-open-source-nlp-framework/
🔗 Open-sourcing PyText for faster NLP development
We are open-sourcing PyText, a framework for natural language processing. PyText is built on PyTorch and it makes it faster and easier to build deep learning models for NLP.
Engineering at Meta
Open-sourcing PyText for faster NLP development
We are open-sourcing PyText, a framework for natural language processing. PyText is built on PyTorch and it makes it faster and easier to build deep learning models for NLP.
#ai #pytorch #deeplearning
PyTorch CNN Weights - Learnable Parameters in Neural Networks
https://www.youtube.com/watch?v=stWU37L91Yc
🎥 PyTorch CNN Weights - Learnable Parameters in Neural Networks
👁 1 раз ⏳ 1431 сек.
PyTorch CNN Weights - Learnable Parameters in Neural Networks
https://www.youtube.com/watch?v=stWU37L91Yc
🎥 PyTorch CNN Weights - Learnable Parameters in Neural Networks
👁 1 раз ⏳ 1431 сек.
In this post, we'll be exploring the inner workings of PyTorch, Introducing more OOP concepts, convolutional and linear layer weight tensors, matrix multiplication for deep learning and more!
Check out the corresponding blog and other resources for this video at:
http://deeplizard.com/learn/video/stWU37L91Yc
❤️🦎 Special thanks to the following polymaths of the deeplizard hivemind:
George Tohme
Support collective intelligence, and join the deeplizard hivemind:
http://deeplizard.com/hivemind
Code:
https:YouTube
CNN Weights - Learnable Parameters in PyTorch Neural Networks
💡Enroll to gain access to the full course:
https://deeplizard.com/course/ptcpailzrd
In this post, we'll be exploring the inner workings of PyTorch, Introducing more OOP concepts, convolutional and linear layer weight tensors, matrix multiplication for deep…
https://deeplizard.com/course/ptcpailzrd
In this post, we'll be exploring the inner workings of PyTorch, Introducing more OOP concepts, convolutional and linear layer weight tensors, matrix multiplication for deep…
Understanding Convolutional Neural Networks through Visualizations in PyTorch
Explanation of how #CNN works
Link: https://towardsdatascience.com/understanding-convolutional-neural-networks-through-visualizations-in-pytorch-b5444de08b91
#PyTorch #nn #DL
🔗 Understanding Convolutional Neural Networks through Visualizations in PyTorch
Getting down to the nitty-gritty of CNNs
Explanation of how #CNN works
Link: https://towardsdatascience.com/understanding-convolutional-neural-networks-through-visualizations-in-pytorch-b5444de08b91
#PyTorch #nn #DL
🔗 Understanding Convolutional Neural Networks through Visualizations in PyTorch
Getting down to the nitty-gritty of CNNs
Towards Data Science
Understanding Convolutional Neural Networks through Visualizations in PyTorch
Getting down to the nitty-gritty of CNNs