COURSE DESCRIPTION

Artificial intelligence (AI) is a simulation of human intelligence in machines which are programmed to perform tasks that require human intelligence. Artificial intelligence is an interdisciplinary science with machine learning and deep learning that works like the human brain in processing data and creating patterns for problem-solving and decision making. Deep learning is a part of machine learning in artificial intelligence which has a capacity of learning networks that are unstructured and unlabeled. This is known as a deep neural network or deep neural learning. Normally, Deep learning is performed by using a neural network architecture. The word “deep” is specified to the number of layers presented in the network. If there are more layers, then the network will be deeper. Some conventional neural networks can contain 2 to 3 layers, whereas in deep networks they can have hundreds.

The Artificial intelligence (AI) and Deep learning course begin with AI applications, considering neural architectures, structuring, and designing algorithms for new AI machines and reducing errors by applying advanced optimization techniques. GPUs and TPUs will be based on cloud platforms like Google Colab which is used to execute Google AI algorithms through running Neural Network algorithms on actual GPU machines. Start Learning AI concepts and practical applications in the certification program of AI and Deep Learning. Start your career as an AI expert.

TensorFlow is open-source software for deep learning structure which is in demand and more popularly in these days. Artificial Intelligence & Deep Learning with TensorFlow master program, you will be able to learn the applied machine learning skills. So that you can build and train powerful models with TensorFlow. In this program, you will also learn, which tools should be used while building AI-powered applications with TensorFlow. Once you finish this course, you will be ready to apply your TensorFlow skills to a wide range of projects. This course can also help you preparing Google TensorFlow certificate exam and it will bring you closer to achieve the Google TensorFlow certificate.

Before you finish this course, you will be able to:

• Use TensorFlow to build and train the neural networks
• Improve your neural network’s execution using convolutions while you train it to identify real-time images
• coach machines to understand, analyze, and respond to human speech recognition by using natural language processing systems
• train a model to create original verse, process the text and represent the sentences
• apply AI & Deep Learning using TensorFlow Master Program which instructs you to use TensorFlow to build models to real-world problems. To expand a deep understanding of how the neural networks work.