Introduction-to-Deep-Learning-main.zip （67个子文件） 
Introduction-to-Deep-Learning-main week2 
preprocessed_mnist.py 646B util.py 1KB
frankenstein.png 74KB NumpyNN (honor).ipynb 38KB v2 mnist_with_keras.ipynb 7KB preprocessed_mnist.py 646B digits_classification.ipynb 12KB ill-conditioned-demo.ipynb 227KB matplotlib_utils.py 3KB grading_utils.py 271B images gradient_descent.png 226KB
TensorBoard.jpg 124KB mnist_sample.png 15KB intro_to_tensorflow.ipynb 17KB tensorflow_examples_from_video.ipynb 12KB tqdm_utils.py 2KB week6 week6_final_project_image_captioning_clean.ipynb 44KB grading_utils.py 3KB images inceptionv3.png 227KB encoder_decoder_explained.png 87KB encoder_decoder.png 805KB flatten_help.jpg 201KB utils.py 3KB keras_utils.py 3KB week4 lfw_dataset.py 2KB Adversarial-task.ipynb 807KB images pca.png 31KB nvidia_cool_gan.png 207KB similar_images.jpg 78KB denoising.jpg 62KB noise_to_face.png 1.08MB gan.png 73KB transpose_conv.jpg 99KB autoencoder.png 48KB submit_honor.py 303B Autoencoders-task.ipynb 33KB submit.py 436B download_utils.py 5KB
conda_requirements.txt 238B week3 grading_utils.py 370B week3_task1_first_cnn_cifar10_clean.ipynb 27KB images inceptionv3.png 227KB flowers.jpg 80KB cifar10.jpg 146KB center_crop.jpg 9KB week3_task2_fine_tuning_clean.ipynb 22KB README.md 749B __pycache__ grading.cpython-38.pyc 3KB tqdm_utils.cpython-38.pyc 2KB download_utils.cpython-38.pyc 5KB week1 .ipynb_checkpoints week01_pa-checkpoint.ipynb 19KB target.npy 7KB train.npy 13KB sgd.png 33KB kernel.png 96KB week01_pa.ipynb 235KB setup_google_colab.py 4KB grading.py 3KB week5 RNN-task.ipynb 23KB mtg_card_names.txt 630KB names 55KB char-nn.png 30KB data_copyright 171B POS-task.ipynb 20KB rnn.png 35KB submit.py 443B download_resources.ipynb 9KB资源评论
