New tutorial on https://t.co/m6mT8SrKDD: build an automatic speech recognition system using a CTC loss and a model inspired by DeepSpeech2.
End-to-end (from raw wave files to inference with the trained model) in... *200 lines of code** 🤯https://t.co/J2OIoTBIls
Now available for ACM Members: "Deep Learning on Windows: Building Deep Learning Computer Vision Systems on Microsoft Windows," by @thimira42. Containing real-time DL object identification. Design DL models & web apps in @Windows. https://t.co/Ndgxyz5vdS
We’ve developed two neural networks which have learned by associating text and images. CLIP maps images into categories described in text, and DALL-E creates new images, like this, from text.
A step toward systems with deeper understanding of the world. https://t.co/rppy6u1zcn
https://t.co/PPKvTBWWNw
First 3 Chapters Released!
The only book focusing specifically on developing Deep Learning models on Microsoft Windows
#DeepLearning#AI#Windows