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This repo gets you started with Deep Learning with TensorFlow. This will be all about about coding Machine Learning and Deep Learning algorithms. I believe in hands-on coding so we will have many exercises and demos which you can try yourself too. You would first have a blog to read to and have one or many Jupyter Notebooks which you can try and also have excercises which you can do. These blogs are also availaible as a blog series on Medium.
More parts coming soon!
- Getting started with TensorFlow and Deep Learning
- Computer Vision with TensorFlow
- Using Convolutional Neural Networks with TensorFlow
- Extending what Convolutional Neural Nets can do
- Working with Complex Image data for CNNs
No! You would not need any hardware or software setup to work your way around these tutorials, each of the notebooks have a button 
To keep the tutorials concise and to-the-point I have not included this in the tutorials itself. If you are a newbie to Machine Learning you would most likely wonder why would you be interested in any of this? However, if you have worked with same other ML Framework or library and want to know about TensorFlow you can simply skip this section.
Artificial Intelligence has revolutionized the way people think, learn, and work in almost every field. You most probably make more use of this than you would imagine. Think about games, the famous YouTube recommendation algorithm or Google Photos identifying faces or identifying if an image is a person or an animal (You will be making a similar program in Part-5 ) all powered by Machine Learning. In these tutorials you will be exploring more of the practical aspect of this 😃 .
To know more about where AI could be used give this blog by Ben Cryer a read.