INSTALLING TENSORFLOW AND JUPYTER NOTEBOOK
What is Anaconda and TensorFlow?
Anaconda is a distribution of the python and R programming languages of scientific computing, that aims to simplify package management and deployment. It includes many packages including SciPy, Numpy, Matplotlib, and Pandas. TensorFlow is an open-source software library that provides various functions to easily implement deep learning programs made by Google.
1. SETTING ENVIRONMENT
1) Virtual Environment Anaconda Installation
To install Anaconda, download and install the program for your OS from Anaconda. Download Windows version here.
2) TensorFlow Installation
2-1) Install TensorFlow in the newly created virtual environment. (Run in Anaconda Prompt)
conda install tensorflow
2-2) Activate TensorFlow
activate tensorflow
2-3) Check TensorFlow version
2-4) Print “Hello World”
3) Jupyter Notebook installation and run
conda install jupyter notebook
jupyter notebook
For detailed installation process, see here.
2. USING GOOGLE COLAB
How to used Colab
Log in with your Google Gmail account http://colab.research.google.com File > New notebook
How to use GPU
: Change Runtime Type Runtime > Change runtime type > Hardware accelerator – GPU Check GPU specification using command
Mount Google Drive
from google.colab import drive
drive.mount('/content/drive')
URL link > Confirm authentication key > Enter in Colab
Create and check “test_colab” folder
!mkdir -p '/content/drive/My Drive/test_colab'
!ls -Fcal '/content/drive/My Drive/test_colab'
Create a df.csv file in the above folder and save a matrix
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.rand(10, 5))
df.to_csv("/content/drive/My Drive/test_colab/df.csv")
