Deep-Learning-Coursera-main.zip （95个子文件） 
Deep-Learning-Coursera-main 1 Neural Networks and Deep Learning 
Building_your_Deep_Neural_Network_Step_by_Step_v8a.ipynb 56KB Deep+Neural+Network+-+Application+v8.ipynb 259KB Logistic_Regression_with_a_Neural_Network_mindset_v6a.ipynb 209KB Python_Basics_With_Numpy_v3a.ipynb 42KB planar_utils.py 2KB Planar_data_classification_with_onehidden_layer_v6c.ipynb 508KB 4 Convolutional Neural Networks week 4 Face Recognition inception_blocks_v2.py 11KB Face_Recognition_v3a.ipynb 33KB fr_utils.py 8KB Neural Style Transfer Art_Generation_with_Neural_Style_Transfer_v3a.ipynb 754KB nst_utils.py 7KB week 1 images 
a_pool.png 344KB
conv_kiank.mp4 8.37MB ave_pool1.png 345KB PAD.png 298KB conv1.png 468KB ave-pool.png 344KB model.png 81KB max_pool.png 390KB
thumbs_up.jpg 989KB conv.png 138KB max_pool1.png 333KB conv_nn.png 31KB average_pool.png 413KB vert_horiz_kiank.png 87KB
Convolution_schematic.gif 64KB SIGNS.png 484KB Convolution_model_Application_v1a.ipynb 93KB Convolution_model_Step_by_Step_v2a.ipynb 66KB cnn_utils.py 6KB datasets test_signs.h5 1.41MB train_signs.h5 12.67MB week 3 yad2k models keras_yolo.py 16KB keras_darknet19.py 2KB utils utils.py 473B __init__.py 21B yolo_utils.py 3KB Autonomous_driving_application_Car_detection_v3a.ipynb 251KB model_data 
yolo_anchors.txt 90B object_classes.txt 3B coco_classes.txt 625B week 2 Keras_Tutorial_v2a.ipynb 59KB Residual_Networks_v2a.ipynb 341KB resnets_utils.py 5KB kt_utils.py 992B 2 Improving Deep Neural Networks Hyperparameter Tuning, Regularization and Optimization Week 1 Gradient Checking Gradient Checking v1.ipynb 26KB testCases.py 521B images dictionary_to_vector.png 122KB 1Dgrad_kiank.png 173KB NDgrad_kiank.png 176KB handforward_kiank.png 2.14MB handbackward_kiank.png 1.67MB gc_utils.py 2KB .ipynb_checkpoints Gradient Checking v1-checkpoint.ipynb 26KB Initialization __pycache__ init_utils.cpython-38.pyc 7KB init_utils.cpython-36.pyc 7KB init_utils.py 8KB Initialization.ipynb 263KB .ipynb_checkpoints Initialization-checkpoint.ipynb 263KB Regularization testCases.py 4KB images dropout2_kiank.mp4 2.35MB dropout1_kiank.mp4 1.63MB field_kiank.png 121KB __pycache__ testCases.cpython-38.pyc 3KB reg_utils.cpython-38.pyc 10KB reg_utils.py 10KB .ipynb_checkpoints Regularization_v2a-checkpoint.ipynb 262KB Regularization_v2a.ipynb 262KB datasets train_catvnoncat.h5 2.45MB test_catvnoncat.h5 602KB data.mat 6KB Week 3 images hands.png 565KB thumbs_up.jpg 989KB onehot.png 118KB test_signs.h5 1.41MB improv_utils.py 11KB train_signs.h5 12.67MB tf_utils.py 5KB TensorFlow_Tutorial_v3b.ipynb 93KB datasets test_signs.h5 1.41MB train_signs.h5 12.67MB Week 2 OptimizationMethods testCases.py 3KB images kiank_sgd.png 106KB cost.jpg 859KB opt2.gif 893KB Momentum.png 163KB kiank_partition.png 66KB kiank_minibatch.png 105KB opt1.gif 714KB opt_momentum.png 125KB kiank_shuffle.png 165KB opt_utils_v1a.py 8KB Optimization_methods_v1b.ipynb 316KB .ipynb_checkpoints Optimization_methods_v1b-checkpoint.ipynb 316KB README.md 4KB资源评论
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