Tensorflow is a library that helps engineers build and train deep learning models. It provides all the tools we need to create neural networks. We can use tensorflow to train simple to complex neural networks using large sets of data. Tensorflow is used in a variety of applications, from image and speech recognition to natural language processing and robotics. TensorFlow enables us to quickly and easily build powerful AI models with high accuracy and performance. Tensorflow also works with GPUs and TPUs, which are types of computer chips built to extend TensorFlow's capabilities.

However, we have to terminate learning time in a reasonable value. In this example we define this ten thousand. Finally, we can make predictions I would like to predict for input instances directly and we need to define a method for that process predictions are made now we can dump these predictions for these inputs actual value is and we also need define a new variable we need to increase index our program is ready to run sorry we forgot yes! our machine learning classifier works with 100% accuracy expected 0, predicted 0 for 0 XOR 0 actual value is 1 and predicted value is also 1 for (0 XOR 1) and the other ones... So, we have developed a Exclusive OR classifier with tensorflow a hello world program I hope you guys enjoyed and understand Have a good day

TensorFlow is an open source machine learning library developed at Google. TensorFlow uses data flow graphs for numerical computations. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. In this post we will learn very basics of TensorFlow and we will build a Logistic Regression model using TensorFlow. The lowest level API - TensorFlow Core, provides you with complete programming control.

Serengil received his MSc in Computer Science from Galatasaray University in 2011. He has been working as a software developer for a fintech company since 2010. Currently, he is a member of AI and Machine Learning team as a Data Scientist. His current research interests are Machine Learning and Cryptography. He has published several research papers about these motivations.

This course provides you to be able to build Deep Neural Networks models for different business domains with one of the most common machine learning library TensorFlow provided by Google AI team. The both concept of deep learning and its applications will be mentioned in this course. Also, we will focus on Keras. Also, you don't have to be attend any ML course before.