To understand how to accomplish a specific task in TensorFlow, you can refer to the TensorFlow tutorials. Keras is one of the most popular and open-source neural network libraries for Python. Initially designed by a Google engineer for ONEIROS, short for Open-Ended Neuro Electronic Intelligent Robot Operating System, Keras was soon supported in TensorFlow's core library making it accessible on top of TensorFlow.
Creating complex data and analysis pipelines has never been easier. You'll be inundated with tutorials online. You can learn the language at every turn. Keeping track of it all is not so easy. Learning the programming basics is easy, but keeping track of the technological possibilities only grows with experience. We present you Awesome Python Data Science libraries and frameworks for free that you should know.
Artificial Intelligence (AI) and machine learning (ML) are gaining increasing traction in today's digital world. Machine learning (ML) is a subset of AI involving the study of computer algorithms that allows computers to learn and grow from experience apart from human intervention. Python has been the go-to choice for Machine Learning and Artificial Intelligence developers for a long time. Python offers some of the best flexibilities and features to developers that not only increase their productivity but the quality of the code as well, not to mention the extensive libraries helping ease the workload. Arthur Samuel said -- "Machine Learning is the field of study that gives computers the ability to learn without being explicitly programmed." The NumPy library for Python concentrates on handling extensive multi-dimensional data and the intricate mathematical functions operating on the data.
There are many types of python libraries available. Here I am mentioning some popular libraries for Machine Learning. NumPy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python.
TensorFlow is an end-to-end Python machine learning library for performing advanced numerical computations. TensorFlow can process deep neural networks for image recognition, handwritten digit classification, iterative neural networks, natural language processing (NLP), word embeddings, and partial differential equations (PDE). Abstraction is a major benefit of TensorFlow Python for machine learning and AI projects. This feature allows developers to focus on the app's comprehensive logic instead of dealing with the general details of algorithm implementation. This library allows Python developers to easily leverage AI and ML to create their own responsive applications that respond to user input such as facial or voice expressions.