DL_Lab_Soton

2018-2019 Semester2 at Soton, lab practices for Deep Learning DL various CV and NLP small project sets:

(CV) Use MLP and CNN respectively for number recognition problem of MNIST data set.
(CV) Use pre‑trained ResNet50 and transfer learning for boat images classification problem.
(NLP) Utilise RNN, LSTM, CNN respectively for IMDB movie review sentiment classification problem.
(CV)Implement an denoising Autoencoder and Variational Autoencoders respectively for the Fashion‑MNIST Dataset.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
.gitignore		.gitignore
1_1_linear_regression_submit_29299675.ipynb		1_1_linear_regression_submit_29299675.ipynb
1_2_logistic_regression_submit_29299675.ipynb		1_2_logistic_regression_submit_29299675.ipynb
1_3_softmax_regression_submit_29299675.ipynb		1_3_softmax_regression_submit_29299675.ipynb
2_1_ForwardAD_submit_29299675.ipynb		2_1_ForwardAD_submit_29299675.ipynb
2_2_ReverseAD_submit_29299675.ipynb		2_2_ReverseAD_submit_29299675.ipynb
2_3_PyTorchAD_submit_29299675.ipynb		2_3_PyTorchAD_submit_29299675.ipynb
3_1_gradient_descent_submit_29299675.ipynb		3_1_gradient_descent_submit_29299675.ipynb
3_2_sgd_momentum_adam_submit_29299675.ipynb		3_2_sgd_momentum_adam_submit_29299675.ipynb
4_1_MNIST_submit_29299675.ipynb		4_1_MNIST_submit_29299675.ipynb
4_2_MLP_submit_29299675.ipynb		4_2_MLP_submit_29299675.ipynb
4_3_Torchbearer_submit_29299675.ipynb		4_3_Torchbearer_submit_29299675.ipynb
4_4_GPU_submit_29299675.ipynb		4_4_GPU_submit_29299675.ipynb
5_1_CNN_submit_29299675.ipynb		5_1_CNN_submit_29299675.ipynb
5_2_Loading_submit_29299675.ipynb		5_2_Loading_submit_29299675.ipynb
5_3_Visualise_submit_29299675.ipynb		5_3_Visualise_submit_29299675.ipynb
5_4_Topologies_submit_29299675.ipynb		5_4_Topologies_submit_29299675.ipynb
6_1_TransferLearning_submit_29299675.ipynb		6_1_TransferLearning_submit_29299675.ipynb
7_1_SequenceModelling_submit_29299675.ipynb		7_1_SequenceModelling_submit_29299675.ipynb
7_2_WordEmbeddings_submit_29299675.ipynb		7_2_WordEmbeddings_submit_29299675.ipynb
7_3_SequenceClassification_submit_29299675.ipynb		7_3_SequenceClassification_submit_29299675.ipynb
7_4_CNNSequenceClassification_submit_29299675.ipynb		7_4_CNNSequenceClassification_submit_29299675.ipynb
8_1_Autoencoder_submit_29299675.ipynb		8_1_Autoencoder_submit_29299675.ipynb
8_2_Denoising_Autoencoder_submit_29299675.ipynb		8_2_Denoising_Autoencoder_submit_29299675.ipynb
8_3_VAE_submit_29299675.ipynb		8_3_VAE_submit_29299675.ipynb
LICENSE		LICENSE
README.md		README.md

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