mc6666/Keras_tutorial

Folders and files

Name		Name	Last commit message	Last commit date
Latest commit History 65 Commits
0_video		0_video
cmn-eng		cmn-eng
images		images
images_2		images_2
lib		lib
myDigits		myDigits
test_data		test_data
02_01_tf_gradient.ipynb		02_01_tf_gradient.ipynb
02_02_tf_linear_regression.ipynb		02_02_tf_linear_regression.ipynb
03_01_MNIST.ipynb		03_01_MNIST.ipynb
04_01_More_Dense.ipynb		04_01_More_Dense.ipynb
04_02_More_Dense_Fashion_mnist.ipynb		04_02_More_Dense_Fashion_mnist.ipynb
04_03_change_neural_count.ipynb		04_03_change_neural_count.ipynb
04_04_change_epoch.ipynb		04_04_change_epoch.ipynb
04_05_activation_function.ipynb		04_05_activation_function.ipynb
04_06_GridSearchCV.ipynb		04_06_GridSearchCV.ipynb
06_01_Model.ipynb		06_01_Model.ipynb
07_01_Callback.ipynb		07_01_Callback.ipynb
08_01_TensorBoard.ipynb		08_01_TensorBoard.ipynb
08_02_TensorBoard_Tuning.ipynb		08_02_TensorBoard_Tuning.ipynb
09_01_What_If_Tool_Notebook_Usage.ipynb		09_01_What_If_Tool_Notebook_Usage.ipynb
10_01_Custom_Callback.ipynb		10_01_Custom_Callback.ipynb
10_02_Custom_Callback_loss.ipynb		10_02_Custom_Callback_loss.ipynb
11_01_CNN_MNIST.ipynb		11_01_CNN_MNIST.ipynb
11_02_Convolutions.ipynb		11_02_Convolutions.ipynb
11_03_CNN_Visualization.ipynb		11_03_CNN_Visualization.ipynb
12_01_CatAndDog.ipynb		12_01_CatAndDog.ipynb
13_01_Canvas.py		13_01_Canvas.py
13_02_CNN_model.py		13_02_CNN_model.py
14_01_Keras_applications_1.ipynb		14_01_Keras_applications_1.ipynb
14_02_Keras_applications2.ipynb		14_02_Keras_applications2.ipynb
15_01_Keras_applications3.ipynb		15_01_Keras_applications3.ipynb
15_02_Mask_Detection.ipynb		15_02_Mask_Detection.ipynb
17_01_Tensorflow_Object_Detection_API_Test.ipynb		17_01_Tensorflow_Object_Detection_API_Test.ipynb
18_01_Tensorflow_Object_Detection_API_Video.ipynb		18_01_Tensorflow_Object_Detection_API_Video.ipynb
19_01_Image_Autoencoder.ipynb		19_01_Image_Autoencoder.ipynb
20_01_Image_segmentation.ipynb		20_01_Image_segmentation.ipynb
22_01_tf.data_basics.ipynb		22_01_tf.data_basics.ipynb
23_01_Premade_Estimator.ipynb		23_01_Premade_Estimator.ipynb
23_02_Text_Classification.ipynb		23_02_Text_Classification.ipynb
24_01_debug.ipynb		24_01_debug.ipynb
25_01_RNN.ipynb		25_01_RNN.ipynb
26_01_IMDB_Using_LSTM.ipynb		26_01_IMDB_Using_LSTM.ipynb
26_02_IMDB_Using_LSTM_complete.ipynb		26_02_IMDB_Using_LSTM_complete.ipynb
26_03_Translation.ipynb		26_03_Translation.ipynb
27_01_CycleGAN.ipynb		27_01_CycleGAN.ipynb
28_01_agent_env.py		28_01_agent_env.py
28_02_cartpole_random.py		28_02_cartpole_random.py
29_01_cartpole_deterministic.py		29_01_cartpole_deterministic.py
29_02_Policy_Evaluation.ipynb		29_02_Policy_Evaluation.ipynb
29_03_Policy_Iteration.ipynb		29_03_Policy_Iteration.ipynb
29_04_Value_Iteration.ipynb		29_04_Value_Iteration.ipynb
30_01_AutoKeras_MNIST.ipynb		30_01_AutoKeras_MNIST.ipynb
30_02_AutoKeras_Fashion_MNIST.ipynb		30_02_AutoKeras_Fashion_MNIST.ipynb
ImageDataset.ipynb		ImageDataset.ipynb
README.md		README.md
cnn_class.py		cnn_class.py
mnist_model.h5		mnist_model.h5