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SoyabulIslamLincoln
/ classifier_from_little_data_script_1.py
Created
June 27, 2020 15:01
— forked from fchollet/classifier_from_little_data_script_1.py
Updated to the Keras 2.0 API.
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| '''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 |
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SoyabulIslamLincoln
/ min-char-rnn.py
Created
June 1, 2020 04:40
— forked from karpathy/min-char-rnn.py
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
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| """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) |
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SoyabulIslamLincoln
/ apache-spark-lab2.ipynb
Created
May 1, 2020 17:36
Created on Skills Network Labs
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| const DiscoveryV1 = require("ibm-watson/discovery/v1"); | |
| async function queryDiscovery( | |
| environmentId, | |
| collectionId, | |
| discoveryUsername, | |
| discoveryPassword, | |
| query, | |
| url | |
| ) { |
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SoyabulIslamLincoln
/ apache-spark-lab1.ipynb
Created
May 1, 2020 16:47
Created on Skills Network Labs
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SoyabulIslamLincoln
/ ML0101EN-Reg-Polynomial-Regression-Co2-py-v1.ipynb
Created
February 26, 2020 03:47
Created on Cognitive Class Labs
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