文件名称:Python-Coursera深度学习导论课程资源GoogleColab
文件大小:5.1MB
文件格式:ZIP
更新时间:2022-08-31 01:08:34
Python开发-机器学习
Resources for "Introduction to Deep Learning" course.
【文件预览】:
hse-aml-intro-to-dl-2bd4ff5
----week2()
--------preprocessed_mnist.py(646B)
--------util.py(1KB)
--------frankenstein.png(74KB)
--------NumpyNN (honor).ipynb(38KB)
--------matplotlib_utils.py(3KB)
--------v2()
--------Tensorflow-task.ipynb(182KB)
--------mnist_sample.png(15KB)
--------README.md(149B)
--------validation_predictons.txt(9KB)
--------Keras-task.ipynb(20KB)
--------my1stNN.ipynb(9KB)
--------submit.py(2KB)
----tqdm_utils.py(2KB)
----week6()
--------week6_final_project_image_captioning_clean.ipynb(43KB)
--------grading_utils.py(3KB)
--------images()
--------utils.py(3KB)
----keras_utils.py(3KB)
----week4()
--------lfw_dataset.py(2KB)
--------Adversarial-task.ipynb(807KB)
--------images()
--------submit_honor.py(303B)
--------Autoencoders-task.ipynb(33KB)
--------submit.py(436B)
----download_utils.py(5KB)
----week3()
--------grading_utils.py(370B)
--------week3_task1_first_cnn_cifar10_clean.ipynb(27KB)
--------images()
--------week3_task2_fine_tuning_clean.ipynb(22KB)
----README.md(5KB)
----week1()
--------target.npy(7KB)
--------train.npy(13KB)
--------sgd.png(33KB)
--------kernel.png(96KB)
--------week01_pa.ipynb(19KB)
----setup_google_colab.py(4KB)
----grading.py(3KB)
----.gitignore(347B)
----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(2KB)