Planning to do some deep learning course sessions e.g. fastai , google ML crash course etc. Also try to understand common tools (tensorflow, jupyter notebook, numpy, pandas, pytorch) and practices e.g. Convoluation neutral nets, SGD used to solve learning problems.

Aim is to get ready for kaggle competition ( eventually to test out learning and develop intuition around categories of learning problems. ( useful links for setting us GPU server env in AWS for this course ..

Intro to Pandas

TensorFlow: Install Tensorflow Download models TensorFlow tutorial:

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  • almost 6 years ago: arun_kant liked this project.
  • about 6 years ago: arun_kant started this project.
  • about 6 years ago: arun_kant originated this project.

  • Comments

    • riafarov
      almost 6 years ago by riafarov | Reply

      Hey! There are deep learning AMIs in AWS, I've used them for my experiments with CUDA: It's possible to run them on micro instance, so only storage will be chargeable

      • arun_kant
        almost 6 years ago by arun_kant | Reply

        Yes, I have been using these AMIs in AWS with spot instances in US east AZ. These AMIs helps a lot in rebuilding with new spot instances and have some chargeable storage for configuration.

        Thanks for sharing the information.

        Any other tooling or specific material you find interesting for learning deep learning?

    • arun_kant
      almost 6 years ago by arun_kant | Reply

      Finished google machine learning crash course ( with exercises in playground and colaboratory environment.

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