DeepLearning-Tensorflow2

Testing the Deep Learning classics in Tensorflow 2 to get familiarized with the 2.0.0-beta0 new features...

Implementation of some classic architectures in TF2 ResNet, AlexNet, LuNet...

Source:

Name		Name	Last commit message	Last commit date
Latest commit History 34 Commits
.idea		.idea
.ipynb_checkpoints		.ipynb_checkpoints
training_2		training_2
0_Basics.ipynb		0_Basics.ipynb
1_LinearRegression.py		1_LinearRegression.py
2_LogisticRegressionKeras.py		2_LogisticRegressionKeras.py
2b_LogisticRegression.py		2b_LogisticRegression.py
2c_Multilayer_Perceptron.py		2c_Multilayer_Perceptron.py
3_CNN_101.py		3_CNN_101.py
4_RNN_101.py		4_RNN_101.py
4_SaveModel.ipynb		4_SaveModel.ipynb
5_Yolo.py		5_Yolo.py
AlexNet.ipynb		AlexNet.ipynb
GoogleNet.ipynb		GoogleNet.ipynb
Load Data.ipynb		Load Data.ipynb
LuNet.ipynb		LuNet.ipynb
MobileNet.ipynb		MobileNet.ipynb
README.md		README.md
ResNet.ipynb		ResNet.ipynb
TCN.py		TCN.py
TensorRT.py		TensorRT.py
Tips&Tricks.md		Tips&Tricks.md
Triplet Loss - FaceNet.ipynb		Triplet Loss - FaceNet.ipynb
VGG Net.ipynb		VGG Net.ipynb
Xception.ipynb		Xception.ipynb
import_pb_to_tensorboard.py		import_pb_to_tensorboard.py
test.py		test.py
test2.py		test2.py

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