Kjeanclaude

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

Kjeanclaude

Kjeanclaude

"""
wGAN implemented on top of tensorflow as described in: [Wasserstein GAN](https://arxiv.org/pdf/1701.07875.pdf)
with improvements as described in: [Improved Training of Wasserstein GANs](https://arxiv.org/pdf/1704.00028.pdf).

"""

import tensorflow as tf


#

Kjeanclaude

Kjeanclaude

class TemporalCoupling {

    fun incorrectUsageOfBadApi() {
        val badApi: BadApi = BadApi()

        badApi.username = "Zak"
        badApi.password = "temporalCouplingIsBad_123"
        badApi.login() //throws an NullPointerException
    }

Kjeanclaude

Amazon Rekognition - Python Code Samples

1. Labels Detection
2. Faces Detection
3. Faces Comparison
4. Faces Indexing
5. Faces Search

Kjeanclaude

def delete_first(self):
    deleted = self.head
    if self.head:
        self.head = self.head.next
        deleted.next = None
    return deleted