{
    "info": {
        "author": "yufan",
        "author_email": "yufanzhou1993@gmail.com",
        "bugtrack_url": null,
        "classifiers": [],
        "description": "some simple functions based on tensorflow\n\n#####################\nSimple Example here\n\n#####################\nimport tensorflow as tf\nfrom yfml.layers import *\nfrom yfml.train import *\nfrom yfml.utils import *\nfrom yfml.quick_build import *\nfrom tensorflow.examples.tutorials.mnist import input_data\n\n\nmnist = input_data.read_data_sets('MNIST_data', one_hot=True)\ntrain_data, train_label = mnist.train.next_batch(50000)\ntraining_data = Data(train_data, train_label)\nx = fl_holder([None, 784])\ny = fl_holder([None, 10])\nif_training = bool_holder()\nx_ = reshape(x, [-1, 28, 28, 1])\nfinal = mix_stack('stack', x_, types=['conv2d', 'maxpool2d', 'conv2d', 'maxpool2d', 'fc', 'fc'],\n                  shapes=[16, 2, 32, 2, 256, 10], use_batch_norm=False, if_training=if_training,\n                  activation_fn='relu', last_activation_fn='softmax')\nloss = loss_fn(final, y)\nopt = optimize(loss, 0.001, optimizer='adam', regularizer=['l2', 0.001])\naccuracy = compute_accuracy(final, y)\nsess = tf.Session()\nsess.run(tf.global_variables_initializer())\nfor i in range(1000):\n    training_data.shuffle()\n    iter = 50000//100\n    avg_acc = 0.\n    for j in range(iter):\n        xs, ys = training_data.next_batch(100)\n        acc, _ = sess.run([accuracy, opt], {x: xs, y: ys, if_training:True})\n        avg_acc += acc/iter\n    print('accuracy is : ', avg_acc)\n\n\n",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "",
        "keywords": "",
        "license": "MIT License",
        "maintainer": "",
        "maintainer_email": "",
        "name": "yfml",
        "package_url": "https://pypi.org/project/yfml/",
        "platform": "all",
        "project_url": "https://pypi.org/project/yfml/",
        "project_urls": null,
        "release_url": "https://pypi.org/project/yfml/0.1.0/",
        "requires_dist": [
            "tensorflow",
            "numpy",
            "scipy",
            "matplotlib",
            "bleach (>=3.1.0)"
        ],
        "requires_python": "",
        "summary": "based on tensorflow",
        "version": "0.1.0"
    },
    "last_serial": 4744760,
    "releases": {
        "0.1.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "606a57262011edd5c2ab70f16b8cbd8f",
                    "sha256": "d6c8435e6cbc27829f0607d110d0e91335a312f345d01b14d7fe49d07a8f2fae"
                },
                "downloads": -1,
                "filename": "yfml-0.1.0-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "606a57262011edd5c2ab70f16b8cbd8f",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": null,
                "size": 7246,
                "upload_time": "2019-01-26T23:04:00",
                "url": "https://files.pythonhosted.org/packages/fa/33/128db148a74270948aebbf892d57c40d55f1410476b145f995f31c594c97/yfml-0.1.0-py2.py3-none-any.whl"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "606a57262011edd5c2ab70f16b8cbd8f",
                "sha256": "d6c8435e6cbc27829f0607d110d0e91335a312f345d01b14d7fe49d07a8f2fae"
            },
            "downloads": -1,
            "filename": "yfml-0.1.0-py2.py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "606a57262011edd5c2ab70f16b8cbd8f",
            "packagetype": "bdist_wheel",
            "python_version": "py2.py3",
            "requires_python": null,
            "size": 7246,
            "upload_time": "2019-01-26T23:04:00",
            "url": "https://files.pythonhosted.org/packages/fa/33/128db148a74270948aebbf892d57c40d55f1410476b145f995f31c594c97/yfml-0.1.0-py2.py3-none-any.whl"
        }
    ]
}