Starting to code in TensorFlow!

During the past week, I viewed several tutorials over implementing several machine learning models on TensorFlow via code. Through these examples, I gained an understanding of the several different libraries, methods, and parameters that I can use in my future models that I will program. Also, I was able to relate this to my programming knowledge and feel much more confident on the implementation of machine learning. During this process, I was able to learn about the general programming of basic neural networks, convolutional neural networks, and regression. My main aim currently is to find out how to actually work through a machine learning model and how to program step by step to create a solution. Furthermore, I am also studying neural networks to learn more about applying machine learning to Natural Language Processing (NLP) and Computer Vision.

My future plan is to contact more professionals in the field to gain a good idea on where to start with making models on platforms such as TensorFlow. Furthermore, I am planning on starting implementing the programming side of machine learning. I also plan to continue my research and courses regarding the theory behind algorithms to gain a better understanding of machine learning models. So see you next week, same place, same time.