https://github.com/mdalamin5/deeplearning-with-pytorch-and-tensorflow
This repository features deep learning models implemented with TensorFlow and PyTorch, including FNN, CNN, RNN, LSTM, GAN, Transfer Learning, and Transformer & BERT, GPT Each model is built from scratch with explanations, optimized training, and comparisons between frameworks, offering hands-on experience in understanding core deep learning concept
https://github.com/mdalamin5/deeplearning-with-pytorch-and-tensorflow
ann bert-model cnn computer-vision embeddings-word2vec gan gru knowledge-distillation lstm rnn tokenization transfer-learning transformer
Last synced: 23 days ago
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This repository features deep learning models implemented with TensorFlow and PyTorch, including FNN, CNN, RNN, LSTM, GAN, Transfer Learning, and Transformer & BERT, GPT Each model is built from scratch with explanations, optimized training, and comparisons between frameworks, offering hands-on experience in understanding core deep learning concept
- Host: GitHub
- URL: https://github.com/mdalamin5/deeplearning-with-pytorch-and-tensorflow
- Owner: MDalamin5
- License: apache-2.0
- Created: 2024-06-18T10:59:52.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2025-11-08T11:57:23.000Z (8 months ago)
- Last Synced: 2025-11-08T13:22:39.004Z (8 months ago)
- Topics: ann, bert-model, cnn, computer-vision, embeddings-word2vec, gan, gru, knowledge-distillation, lstm, rnn, tokenization, transfer-learning, transformer
- Language: Jupyter Notebook
- Homepage: https://www.linkedin.com/in/mdalamin5/
- Size: 118 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md