Ant_Bees_classification_Pytorch

Create an Environment

First open the terminal and then create a new environment

   "conda create --name abc python=3.6"

Activate the New Environment -abc

 " source activate abc"

and then type

  "conda env list"

check your current environmet that is asterik is shown before your environment like that ...

 (abc) ankit@ankitG-PC:~$ conda env list

Conda Environments:

  abc                   *  /home/ankit/anaconda3/envs/abc

  ankit                    /home/ankit/anaconda3/envs/ankit

  root                     /home/ankit/anaconda3

Deactivate the Environment :

 " source deactivate abc"

Fig1...........

Fig2...........

Fig3...........

and

Connect your Specific environment with jupyter kernel and click enter like that:

https://ipython.readthedocs.io/en/stable/install/kernel_install.html

       (abc)ankit@ankitG-PC:~$ python -m ipykernel install --user --name abc --display-name "Python (abc)"

Installed kernelspec abc in /home/ankit/.local/share/jupyter/kernels/abc

and run command in terminal:

    jupyter notebook     ( : if installed )

and also install torch visiting on (🍎) pytorch.org (🍎) with selecting your desired system config

(🍏) Select if you have Graphic then add cuda otherwise Select (🔴) None (🔴) and copy the command and run on terminal.

After this Open Jupyter And Select Python On New Environment And Write Your Program.

https://pytorch.org/tutorials/beginner/transfer_learning_tutorial.html

https://towardsdatascience.com/transfer-learning-using-pytorch-4c3475f4495

(For more understanding tutorial read this on Medium article.)

Important Webpages......

https://cs231n.github.io/transfer-learning/

https://mc.ai/applying-transfer-learning-on-resnet-using-pytorch/

https://pytorch.org/docs/0.3.1/

https://en.wikipedia.org/wiki/PyTorch

https://www.quora.com/topic/PyTorch

https://github.com/llSourcell/Pytorch_Coding_Challenge_LIVE/blob/master/invasive%20species.ipynb

https://www.techopedia.com/definition/28033/data-augmentation

https://machinelearningmastery.com/transfer-learning-for-deep-learning/

https://github.com/GnaneshKunal/dogs-vs-cats-classifier

https://blog.datawow.io/the-power-of-transfer-learning-23c5dffc002e

https://towardsdatascience.com/transfer-learning-from-pre-trained-models-f2393f124751

https://towardsdatascience.com/transfer-learning-part-1-4c2c7839a4b9

https://towardsdatascience.com/transfer-learning-using-pytorch-4c3475f4495

https://towardsdatascience.com/train-validation-and-test-sets-72cb40cba9e7

Basic Markdown and Bulleted Websites ...

https://help.github.com/articles/basic-writing-and-formatting-syntax/AC

https://hackernoon.com/12-cool-things-you-can-do-with-github-f3e0424cf2f0

https://guides.github.com/features/mastering-markdown/

https://stackoverflow.com/questions/23904274/is-there-a-way-to-get-colored-text-in-github-flavored-markdown