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View classifier_from_little_data_script_1.py
'''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 / VIDEO-QA with Tensorflow 1.2RC0.ipynb
Last active Jun 15, 2018
EXAMPLE OF VIDEO-QA IMPLEMENTATION WITH TENSORFLOW 1.2RC0
View VIDEO-QA with Tensorflow 1.2RC0.ipynb
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@Kjeanclaude
Kjeanclaude / improved_wGAN_loss.py
Created May 29, 2017 — forked from mjdietzx/improved_wGAN_loss.py
tensorflow implementation of Wasserstein distance with gradient penalty
View improved_wGAN_loss.py
"""
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 / automobile.ipynb
Created May 28, 2017 — forked from martinwicke/automobile.ipynb
Estimator demo using Automobile dataset
View automobile.ipynb
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View TemporalCoupling.kt
class TemporalCoupling {
fun incorrectUsageOfBadApi() {
val badApi: BadApi = BadApi()
badApi.username = "Zak"
badApi.password = "temporalCouplingIsBad_123"
badApi.login() //throws an NullPointerException
}
@Kjeanclaude
Kjeanclaude / amazon-rekognition.md
Created Dec 22, 2016 — forked from alexcasalboni/amazon-rekognition.md
Amazon Rekognition - Python Code Samples
View amazon-rekognition.md

Amazon Rekognition - Python Code Samples

  1. Labels Detection
  2. Faces Detection
  3. Faces Comparison
  4. Faces Indexing
  5. Faces Search
View delete_first.py
def delete_first(self):
deleted = self.head
if self.head:
self.head = self.head.next
deleted.next = None
return deleted
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