Artificial-Neural-Networks-Project:多个顺序的可学习层，激活和丢失功能
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2021-03-28
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Artificial-Neural-Networks-Project-master.zip （38个子文件） 
Artificial-Neural-Networks-Project-master 
MNIST v0.2.ipynb 115KB HW1 
tmp2.bmp 2KB hw_1_train.pickle 7.55MB 01_linear_regression.ipynb 831KB MNIST5-6 V1.ipynb 107KB mse.py 216B Dense.py 872B tmp.bmp 2KB ReLU.py 343B Sigmoid.py 381B hw_1_test_no_lables.pickle 2.38MB LogLoss.py 476B Softmax.py 244B MNIST5-6 V0.ipynb 116KB MNIST v0.6 (92.5%).ipynb 125KB __pycache__ Tanh.cpython-37.pyc 716B LogLoss.cpython-37.pyc 731B Softmax.cpython-37.pyc 667B mse.cpython-37.pyc 638B Sigmoid.cpython-37.pyc 843B ReLU.cpython-37.pyc 745B Dense.cpython-37.pyc 1KB MNIST v0.5 (85%).ipynb 82KB mse.py 216B Dense.py 707B tmp.bmp 2KB ReLU.py 343B Sigmoid.py 381B MNIST v0.3.ipynb 80KB data_test_no_labels.pickle 13.08MB .ipynb_checkpoints MNIST v0.6 (92.5%)-checkpoint.ipynb 120KB LogLoss.py 476B Softmax.py 244B MNIST v0.4.ipynb 80KB .gitattributes 66B data_train.pickle 39.65MB MNIST v0.1.ipynb 56KB Tanh.py 339B资源评论
