Practical Deep Learning with Tensorflow 2.x and Keras

**UPDATED: Now using Tensorflow 2. Please post in Q&A if you have any trouble. I'm here to help****UPDATED 11-2021: Added a section on Practical Transfer Learning**TensorFlow is by far, the most popular library for deep learning. Backed by Google, it is a solid investment of your time and efforts if you want to succeed in the area of machine learning and AI. The issue most people face is that getting started with Tensorflow guides usually delve too deeply into unnecessary mathematics. That is where this course comes in. While some theory is important, a lot of it is just not needed when you're just getting started! This course is for you if you are new to Machine Learning but want to learn it without all the complicated math. This course is also for you if you have had a machine learning course but could never figure out how to use it to solve your own problems. In this course, we will start from very scratch. This is a very applied course, so we will immediately start coding even without installation! You will see a brief bit of absolutely essential theory and then we will get into the environment setup and explain almost all concepts through code. You will be using Keras and Tensorflow 2.x -- one of the easiest and most powerful machine learning tools out there. You will start with a basic model of how machines learn and then move on to higher models such as: Convolutional Neural Networks Residual Connections Inception ModuleFunctional API of Keras / Tensorflow 2.x Transfer Learning In this course, we explain concepts using not only toy datasets but also a real-world dataset from the bioinformatics domain. Whil