Linking pages
- Brain Tumor Classification Transfer learning | by Himanshu Tripathi | Analytics Vidhya | Medium https://medium.com/@iamhimanshutripathi0/brain-tumor-classification-transfer-learning-e04f84f96443 3 comments
- Exploring Pre-trained Model Use Cases with GPT-2 and T5 | Toptal https://www.toptal.com/deep-learning/exploring-pre-trained-models 0 comments
- Guide to Image Augmentation: from Beginners to Advanced | DataMonje https://datamonje.com/image-data-augmentation/ 0 comments
- GitHub - artix41/awesome-transfer-learning: Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.) https://github.com/artix41/awesome-transfer-learning 0 comments
Linked pages
- Towards Data Science https://towardsdatascience.com/ 78 comments
- Artificial general intelligence - Wikipedia https://en.wikipedia.org/wiki/Artificial_general_intelligence#Possible_explanations_for_the_slow_progress_of_AI_research 41 comments
- [1803.11175] Universal Sentence Encoder https://arxiv.org/abs/1803.11175 34 comments
- [1810.04805] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding https://arxiv.org/abs/1810.04805 25 comments
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- Deep Learning with Python https://www.manning.com/books/deep-learning-with-python 13 comments
- ImageNet http://image-net.org/index 12 comments
- Image data preprocessing https://keras.io/preprocessing/image/ 8 comments
- fastText https://fasttext.cc/ 7 comments
- GloVe: Global Vectors for Word Representation http://nlp.stanford.edu/projects/glove/ 7 comments
- [1512.00567] Rethinking the Inception Architecture for Computer Vision http://arxiv.org/abs/1512.00567 1 comment
- Word2vec - Wikipedia https://en.wikipedia.org/wiki/Word2vec 1 comment
- Transfer Learning - Machine Learning's Next Frontier http://ruder.io/transfer-learning/ 0 comments
- Stanford Dogs dataset for Fine-Grained Visual Categorization http://vision.stanford.edu/aditya86/ImageNetDogs/ 0 comments