GitHub - rzese/Corso_Deep_Learning_UNIFE: Jupyter notebooks used in the course Deep Learning of the Department of Engineering at the University of Ferrara. Some notebooks are taken from Tensorflow tutorial and presents minor changes to fit the course needs.

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Jupyter notebooks used in the course Deep Learning of the Department of Engineering at the University of Ferrara. Some notebooks are taken from Tensorflow tutorial and presents minor changes to fit the course needs.

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
01_Hello_World.ipynb		01_Hello_World.ipynb
02_Grad_descent_linear_reg.ipynb		02_Grad_descent_linear_reg.ipynb
02_SOL_Grad_descent_linear_reg.ipynb		02_SOL_Grad_descent_linear_reg.ipynb
03_Intro_NN_exercises.ipynb		03_Intro_NN_exercises.ipynb
03_SOL_Intro_NN_exercises.ipynb		03_SOL_Intro_NN_exercises.ipynb
04_Backprop_Exercise.ipynb		04_Backprop_Exercise.ipynb
04_SOL_Backprop_Exercise.ipynb		04_SOL_Backprop_Exercise.ipynb
05_Example_using_tensorflow_1.X.ipynb		05_Example_using_tensorflow_1.X.ipynb
06_SOL_intro_keras.ipynb		06_SOL_intro_keras.ipynb
06_intro_keras.ipynb		06_intro_keras.ipynb
07_Keras_First_NN.ipynb		07_Keras_First_NN.ipynb
07_SOL_Keras_First_NN.ipynb		07_SOL_Keras_First_NN.ipynb
08_basic_text_classification.ipynb		08_basic_text_classification.ipynb
09_SOL_overfit_and_underfit.ipynb		09_SOL_overfit_and_underfit.ipynb
09_overfit_and_underfit.ipynb		09_overfit_and_underfit.ipynb
10_CIFAR10_First_CNN.ipynb		10_CIFAR10_First_CNN.ipynb
10_SOL_CIFAR10_First_CNN.ipynb		10_SOL_CIFAR10_First_CNN.ipynb
11_Keras_MNIST.ipynb		11_Keras_MNIST.ipynb
11_SOL_Keras_MNIST.ipynb		11_SOL_Keras_MNIST.ipynb
12_RNN_with_pretrained_embeddings.ipynb		12_RNN_with_pretrained_embeddings.ipynb
16x16_with_5x5xpath_2stride.png		16x16_with_5x5xpath_2stride.png
1st_step_NN.png		1st_step_NN.png
deep_dense_network.png		deep_dense_network.png
diabetes.csv		diabetes.csv
glove_WIKI.zip		glove_WIKI.zip
rocking_chair.png		rocking_chair.png
wiki_iter=5_algorithm=skipgram_window=10_size=300_neg-samples=10.zip		wiki_iter=5_algorithm=skipgram_window=10_size=300_neg-samples=10.zip