my-d2l-learning-notes

A ML beginner's d2l learning notes

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
.ipynb_checkpoints		.ipynb_checkpoints
__pycache__		__pycache__
fashion_mnist		fashion_mnist
number_mnist		number_mnist
Alexnet_mnist.py		Alexnet_mnist.py
Batch Normalization.py		Batch Normalization.py
GoogLeNet.py		GoogLeNet.py
LICENSE		LICENSE
README.md		README.md
RepVGG.py		RepVGG.py
ResRep.py		ResRep.py
Resnet.py		Resnet.py
Shenzhen Cup.py		Shenzhen Cup.py
VGG.py		VGG.py
class_practice.py		class_practice.py
conv_layer.py		conv_layer.py
kaggle_house price.py		kaggle_house price.py
lenet_mnist.py		lenet_mnist.py
linear regression test.py		linear regression test.py
linear regression.py		linear regression.py
mlp.py		mlp.py
mypyfile.py		mypyfile.py
softmax regression without annimator.py		softmax regression without annimator.py
softmax regression.py		softmax regression.py
t10k-images-idx3-ubyte.gz		t10k-images-idx3-ubyte.gz
t10k-labels-idx1-ubyte.gz		t10k-labels-idx1-ubyte.gz
train-images-idx3-ubyte.gz		train-images-idx3-ubyte.gz
train-labels-idx1-ubyte.gz		train-labels-idx1-ubyte.gz
underfit-overfit.py		underfit-overfit.py

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