GitHub - Joyce-Tchamdjou/DeepLearningProjects

DeepLearningProjects

Introduction to MLP using python Using python to implement a two-layers Multi-Layer perceptron with a hidden layer for classification.
Introduction to MLP using pytorch Convert in pytorch and enhance the previous python MLP implementation.
Reccurrent Neural Networks
- Implementing two neural networks for movie rating classification given the text of the review
- Training a language model on music sequences and generating new sequences according to the initial pattern
Convolutional Neural n!etworks
- CNN for image classification on MNIST and CIFAR 10 datasets
- Implementing Deep dream and Adverserial examples using CNNs
- Using CNNs to enact image super-resolution

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
DL1_20202021_Lab_MLP_python_student_ipynb_txt.ipynb		DL1_20202021_Lab_MLP_python_student_ipynb_txt.ipynb
DL1_20202021_Lab_MLP_pytorch_student_ipynb_txt.ipynb		DL1_20202021_Lab_MLP_pytorch_student_ipynb_txt.ipynb
Lab_DL_RNN_CLASS_keras_2021_10_05_imdb_student.ipynb		Lab_DL_RNN_CLASS_keras_2021_10_05_imdb_student.ipynb
Lab_DL_RNN_GEN_keras_bach_2021_10_05_student.ipynb		Lab_DL_RNN_GEN_keras_bach_2021_10_05_student.ipynb
readMe.md		readMe.md
tp_deep_learning_cnn_part_1_for_students.ipynb		tp_deep_learning_cnn_part_1_for_students.ipynb
tp_deep_learning_cnn_part_2_for_students.ipynb		tp_deep_learning_cnn_part_2_for_students.ipynb
tp_deep_learning_cnn_part_3_for_students.ipynb		tp_deep_learning_cnn_part_3_for_students.ipynb