TensorFlow is the new hot thing in machine learning. You could use their Get Started Guide, or you could learn it way faster and easier by checking out the resources below!
“Tensorflow and Deep Learning - Without a PhD” by Martin Görner:
Or the expanded 3 hour version: https://www.youtube.com/watch?v=vq2nnJ4g6N0))
If you already understand linear algebra, this is a great place to start. It’ll explain several high-level concepts such as:
- What is a “neuron”
- Different types of activation functions and why we use ReLu
- How to improve model accuracy with dropout
- How to evaluate the model and tune hyperparameters
"Tensorflow: The Confusing Parts (1)" by Jacob Buckmanhttps://jacobbuckman.com/post/tensorflow-the-confusing-parts-1/
"Getting Started with TensorFlow: A Machine Learning Tutorial" by Dino Causevic
"Python TensorFlow Tutorial – Build a Neural Network"http://adventuresinmachinelearning.com/python-tensorflow-tutorial
"Machine Learning Mastery" by Jason Brownlee
Google Colaboratory (Colab)https://colab.research.google.com/notebooks/welcome.ipynb#scrollTo=9wi5kfGdhK0R
Colab provides an interactive Python notebook based on Jupyter but with two huge advantages.
- You can use it to generate visualizations with HTML/CSS
- Free GPU compute time
It’s a free tool meant for sharing research and learning new tools, so please don’t abuse it.
Tensorboard is a tool for visualizing ML models. The goal is to solve the black box problem. It’s useful for:
- Designing the structure of models
- Visualizing performance
- Generating graphs of results
Using TensorBoard with Colabhttps://stackoverflow.com/questions/47818822/can-i-use-tensorboard-with-google-colab
If you see the value in Colab (the interactive online notebook) and Tensorboard (the visualization/debugging tool), then it’s well worth your time get them working together.
Announcements & Jokeshttps://www.reddit.com/r/MachineLearning/
Neural Networks and Deep Learning (free online book): http://neuralnetworksanddeeplearning.com/
Deep learning (online book):
Popular Data Science Books on Goodreads:
Machine Learning Researchhttps://distill.pub/
"How to Become a Data Scientist": https://www.datasciencecentral.com/profiles/blogs/how-to-become-a-data-scientist-for-free
Work with us at ByteGain
If you're already great at machine learning, we're hiring at ByteGain!
Convert your highest value users
No code required