資源簡介
tensorflow框架下構建訓練一個簡單的3層卷積神經網絡實現分類問題

代碼片段和文件信息
import?math
import?numpy?as?np
import?h5py
import?matplotlib.pyplot?as?plt
import?scipy
from?PIL?import?Image
from?scipy?import?ndimage
import?tensorflow?as?tf
from?tensorflow.python.framework?import?ops
from?cnn_utils?import?*
import?scipy.misc?as?misc
get_ipython().magic(‘matplotlib?inline‘)
np.random.seed(1)
X_train_orig?Y_train_orig?X_test_orig?Y_test_orig?classes?=?load_dataset()
index?=?6
plt.imshow(X_train_orig[index])
print?(“y?=?“?+?str(np.squeeze(Y_train_orig[:?index])))
print?(“X:?“?+?str(X_train_orig[0]))
print?(“Y:?“?+?str(Y_train_orig[0]))
X_train?=?X_train_orig/255.
X_test?=?X_test_orig/255.
print?(“X:?“?+?str(X_train[1]))
Y_train?=?convert_to_one_hot(Y_train_orig?6).T
Y_test?=?convert_to_one_hot(Y_test_orig?6).T
print?(“Y:?“?+?str(Y_train[1]))
print?(“number?of?training?examples?=?“?+?str(X_train.shape[0]))
print?(“number?of?test?examples?=?“?+?str(X_test.shape[0]))
print?(“X_train?shape:?“?+?str(X_train.shape))
print?(“Y_train?shape:?“?+?str(Y_train.shape))
print?(“X_test?shape:?“?+?str(X_test.shape))
print?(“Y_test?shape:?“?+?str(Y_test.shape))
conv_layers?=?{}
def?create_placeholders(n_H0?n_W0?n_C0?n_y):
????“““
????Creates?the?placeholders?for?the?tensorflow?session.
????
????Arguments:
????n_H0?--?scalar?height?of?an?input?image
????n_W0?--?scalar?width?of?an?input?image
????n_C0?--?scalar?number?of?channels?of?the?input
????n_y?--?scalar?number?of?classes
????????
????Returns:
????X?--?placeholder?for?the?data?input?of?shape?[None?n_H0?n_W0?n_C0]?and?dtype?“float“
????Y?--?placeholder?for?the?input?labels?of?shape?[None?n_y]?and?dtype?“float“
????“““
????X?=?tf.placeholder(dtype?=?tf.float32shape?=?[None?n_H0?n_W0?n_C0])
????Y?=?tf.placeholder(dtype?=?tf.float32shape?=?[None?n_y])
????return?X?Y
X?Y?=?create_placeholders(64?64?3?6)
print?(“X?=?“?+?str(X))
print?(“Y?=?“?+?str(Y))
def?initialize_parameters():
????“““
????Initializes?weight?parameters?to?build?a?neural?network?with?tensorflow.?The?shapes?are:
????????????????????????W1?:?[4?4?3?8]
????????????????????????W2?:?[2?2?8?16]
????Returns:
????parameters?--?a?dictionary?of?tensors?containing?W1?W2
????“““
????
????tf.set_random_seed(1)?????????????????????????????
????W1?=?tf.get_variable(“W1“?[4438]?initializer?=?tf.contrib.layers.xavier_initializer(seed?=?0))
????W2?=?tf.get_variable(“W2“?[22816]?initializer?=?tf.contrib.layers.xavier_initializer(seed?=?0))
????parameters?=?{“W1“:?W1
??????????????????“W2“:?W2}
????
????return?parameters
tf.reset_default_graph()
with?tf.Session()?as?sess_test:
????parameters?=?initialize_parameters()
????init?=?tf.global_variables_initializer()
????sess_test.run(init)
????print(“W1?=?“?+?str(parameters[“W1“].eval()[111]))
????print(“W2?=?“?+?str(parameters[“W2“].eval()[111]))
def?forward_propagation(X?parameters):
????“““
????Implements?the?forward?propagation?for?the?model:
????CONV2D?->?RELU?->?MAXPOOL?->?CONV2D?->?RELU?->?MAXPOOL?->?FLATTEN?->?FULLYCONNECTED
???
?屬性????????????大小?????日期????時間???名稱
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?????文件??????48943??2018-12-23?14:23??TensorFlow入門:使用卷積網絡模型實現手勢識別\.ipynb_checkpoints\Convolution+model+-+Application+-+v1-checkpoint.ipynb
?????文件???????9542??2018-12-23?15:09??TensorFlow入門:使用卷積網絡模型實現手勢識別\cnn.py
?????文件???????5635??2018-08-15?08:14??TensorFlow入門:使用卷積網絡模型實現手勢識別\cnn_utils.py
?????文件?????????20??2018-08-15?08:14??TensorFlow入門:使用卷積網絡模型實現手勢識別\datasets\README.md
?????文件????1477712??2018-08-15?08:14??TensorFlow入門:使用卷積網絡模型實現手勢識別\datasets\test_signs.h5
?????文件???13281872??2018-08-15?08:14??TensorFlow入門:使用卷積網絡模型實現手勢識別\datasets\train_signs.h5
?????文件????????205??2018-08-15?08:14??TensorFlow入門:使用卷積網絡模型實現手勢識別\README.md
?????文件???????3652??2018-12-23?14:21??TensorFlow入門:使用卷積網絡模型實現手勢識別\__pycache__\cnn_utils.cpython-36.pyc
?????目錄??????????0??2018-12-24?09:32??TensorFlow入門:使用卷積網絡模型實現手勢識別\.ipynb_checkpoints
?????目錄??????????0??2018-12-24?09:32??TensorFlow入門:使用卷積網絡模型實現手勢識別\datasets
?????目錄??????????0??2018-12-24?09:32??TensorFlow入門:使用卷積網絡模型實現手勢識別\__pycache__
?????目錄??????????0??2018-12-24?09:32??TensorFlow入門:使用卷積網絡模型實現手勢識別
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