All Projects → shekit → Machine Learning Demystified

shekit / Machine Learning Demystified

A weekly workshop series at ITP to teach machine learning with a focus on deep learning

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Machine Learning Demystified

Deep Dream In Pytorch
Pytorch implementation of the DeepDream computer vision algorithm
Stars: ✭ 90 (-21.05%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Deep Image Analogy Pytorch
Visual Attribute Transfer through Deep Image Analogy in PyTorch!
Stars: ✭ 100 (-12.28%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Deep Learning Python
Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.
Stars: ✭ 94 (-17.54%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Swae
Implementation of the Sliced Wasserstein Autoencoders
Stars: ✭ 75 (-34.21%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Intro To Deep Learning
A collection of materials to help you learn about deep learning
Stars: ✭ 103 (-9.65%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Dareblopy
Data Reading Blocks for Python
Stars: ✭ 82 (-28.07%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Btctrading
Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
Stars: ✭ 99 (-13.16%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Bitcoin Price Prediction Using Lstm
Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network
Stars: ✭ 67 (-41.23%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Pytorchnlpbook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
Stars: ✭ 1,390 (+1119.3%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Models
DLTK Model Zoo
Stars: ✭ 101 (-11.4%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Mit 6.s094
MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions
Stars: ✭ 74 (-35.09%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Faceaging By Cyclegan
Stars: ✭ 105 (-7.89%)
Mutual labels:  jupyter-notebook, deep-neural-networks
My Journey In The Data Science World
📢 Ready to learn or review your knowledge!
Stars: ✭ 1,175 (+930.7%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Breast Cancer Classification
Breast Cancer Classification using CNN and transfer learning
Stars: ✭ 86 (-24.56%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Cs231n
My Solution to Assignments of CS231n in Winter2016
Stars: ✭ 71 (-37.72%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Pytorch Learners Tutorial
PyTorch tutorial for learners
Stars: ✭ 97 (-14.91%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Vitech
tuyển chọn các tài liệu về công nghệ bằng tiếng Việt
Stars: ✭ 63 (-44.74%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Gtsrb
Convolutional Neural Network for German Traffic Sign Recognition Benchmark
Stars: ✭ 65 (-42.98%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Mxnet Finetuner
An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.
Stars: ✭ 100 (-12.28%)
Mutual labels:  jupyter-notebook, deep-neural-networks
Tensorflow2.0 Examples
🙄 Difficult algorithm, Simple code.
Stars: ✭ 1,397 (+1125.44%)
Mutual labels:  jupyter-notebook, deep-neural-networks

Machine Learning Demystified

A weekly workshop series at NYU ITP to teach machine learning with a focus on deep learning

Week1

Setup Environment

1) Install miniconda

2) Open Terminal

  • Type: bash /path/to/the/file/you/just/downloaded
  • You can just drag the bash file you download into your terminal window from where you installed it   - Press Enter to continue
  • Review the license and approve the license terms - type in yes and press enter
  • Press Enter again to confirm the location of install
  • Type yes when it asks you if the install location should be prepended to PATH
  • Restart Terminal for changes to take effect
  • Type: conda info
  • If it prints out some stuff then it has installed correctly

3) Create an environment

  • Open Terminal
  • Type: conda create -n tensor python=3.5.2
  • Type: y (and press Enter)
  • This will create a conda environment with the name 'tensor' and python version 3.5.2

4) Activate environment

  • Open Terminal
  • Type: source activate tensor
  • You should see (tensor) prepended before your terminal prompt

5) Install dependencies

  • Make sure you can see (tensor) prepended before the terminal prompt before proceeding
  • Type: conda install numpy matplotlib jupyter
  • Type: y (and press Enter)
  • Type: pip install nltk gensim keras gym

6) Install Tensor Flow

  • In the same terminal window type: pip install tensorflow
  • If the above command gives an error (it shows up in red color in your terminal only then do the following):
    • Type: pip install https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.0.0-py3-none-any.whl
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].