fast.ai "Practical Deep Learning for Coders Part 2" Course

For an introduction to the second part of the course, you can read more about it from fast.ai blog post here

Part 2 of the course focused on learning recent advances in deep learning and classic machine learning like clustering.

This repo contains the version of my codes for the course assignments.

I have fixed quite a number of bugs that prevent the jupyter notebook from running successfully.

Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
.gitignore		.gitignore
DCGAN.ipynb		DCGAN.ipynb
Keras-Tensorflow-Tutorial.ipynb		Keras-Tensorflow-Tutorial.ipynb
LICENSE		LICENSE
README.md		README.md
attention_wrapper.py		attention_wrapper.py
babi-memnn.ipynb		babi-memnn.ipynb
batcher.py		batcher.py
bcolz_array_iterator.py		bcolz_array_iterator.py
bcolz_iter_test.ipynb		bcolz_iter_test.ipynb
dcgan.py		dcgan.py
densenet-keras.ipynb		densenet-keras.ipynb
imagenet_process.ipynb		imagenet_process.ipynb
kmeans.py		kmeans.py
kmeans_test.ipynb		kmeans_test.ipynb
meanshift.ipynb		meanshift.ipynb
neural-sr.ipynb		neural-sr.ipynb
neural-style-pytorch.ipynb		neural-style-pytorch.ipynb
neural-style.ipynb		neural-style.ipynb
pytorch-tut.ipynb		pytorch-tut.ipynb
rossman.ipynb		rossman.ipynb
rossman_exp.py		rossman_exp.py
seq2seq-translation.ipynb		seq2seq-translation.ipynb
spelling_bee_RNN.ipynb		spelling_bee_RNN.ipynb
taxi.ipynb		taxi.ipynb
taxi_data_prep_and_mlp.ipynb		taxi_data_prep_and_mlp.ipynb
tf-basics.ipynb		tf-basics.ipynb
tiramisu-keras.ipynb		tiramisu-keras.ipynb
tiramisu-pytorch.ipynb		tiramisu-pytorch.ipynb
torch_utils.py		torch_utils.py
translate-pytorch.ipynb		translate-pytorch.ipynb
translate.ipynb		translate.ipynb
utils2.py		utils2.py
vgg16.py		vgg16.py
vgg16_avg.py		vgg16_avg.py
wgan-pytorch.ipynb		wgan-pytorch.ipynb

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