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Udemy Course Liked the topics which are covered and the handson examples used
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CS231n: Convolutional Neural Networks for Visual Recognition With video lectures here
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| fig, (ax1, ax2, ax3) = plt.subplots(nrows=1, ncols=3, figsize=(12,5)) |
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| https://catdevblog.nickbair.net/2010/06/08/printing-in-booklet-format-from-the-linux-command-line/ |
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| {"error": 42716.2954, "samples": 506, "value": [22.532806324110698], "label": "RM <= 6.94", "type": "split", "children": [{"error": 17317.3210, "samples": 430, "value": [19.93372093023257], "label": "LSTAT <= 14.40", "type": "split", "children": [{"error": 6632.2175, "samples": 255, "value": [23.349803921568636], "label": "DIS <= 1.38", "type": "split", "children": [{"error": 390.7280, "samples": 5, "value": [45.58], "label": "CRIM <= 10.59", "type": "split", "children": [{"error": 0.0000, "samples": 4, "value": [50.0], "label": "Leaf - 4", "type": "leaf"}, {"error": 0.0000, "samples": 1, "value": [27.9], "label": "Leaf - 5", "type": "leaf"}]}, {"error": 3721.1632, "samples": 250, "value": [22.90520000000001], "label": "RM <= 6.54", "type": "split", "children": [{"error": 1636.0675, "samples": 195, "value": [21.629743589743576], "label": "LSTAT <= 7.57", "type": "split", "children": [{"error": 129.6307, "samples": 43, "value": [23.969767441860473], "label": "TAX <= 222.50", "type": "split", "children": [{"err |
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| find . -name "*.zip" | while read filename; do unzip -o -d "`dirname "$filename"`" "$filename"; done; | |
| find . -name "*.tar*" | while read filename; do tar xvf "$filename" -C "`dirname "$filename"`"; done; | |
| find . -name "*.ipynb" -execdir jupyter nbconvert --to html {} \; |
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| # Useful Scripts for Pandas | |
| ## Splitting a df whenever the value of a column changes | |
| | 0 | 1 | 2| | |
| | |
- For searching lines with only a single word .
^\h*\w+\h*$- ^ - Start of line
- \h* - optional leading horizontal whitespac
- \w+ - 1 or more word symbols You can use \S instead of \w to match any non-whitespace symbols.
To insert a linebreak, just replace with \r\n$0. You do not need any capturing groups since you can always reference the whole match with
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| import argparse | |
| from tqdm import tqdm | |
| import torch | |
| import torch.nn.functional as F | |
| from torchvision import models, datasets, transforms | |
| def get_CIFAR10(root="./"): |
My earbuds SoundBuds Flow was connecting and audio working but microphone was not working.
It gets connected as A2DP audi sink, when you try to convert to Headset Head unit it gives the error "Failed to change profile to headset_head_unit".
The fix as per [1]
Install ofono:
sudo apt install ofono
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