FAQ on Artificial Intelligence

Linear neuron Binary threshold neuron Stochastic binary neuron Sigmoid neuron Tanh function Rectified linear unit (ReLU) In an artificial intelligence interview, when asked about different activation functions or neurons used in neural networks, you could provide a comprehensive list including: Sigmoid Function (Logistic): This function squashes the input values between 0 and 1, suitable for … Read more

A cost function is a scalar function that quantifies the error factor of the neural network. Lower the cost function better the neural network. For example, while classifying the image in the MNIST dataset, the input image is digit 2, but the neural network wrongly predicts it to be 3. A cost function, also known … Read more

Constants Variables Placeholder Graph Session In TensorFlow, there are several fundamental objects that are crucial for building and working with machine learning models. Some of the key TensorFlow objects include: Tensors: Tensors are the fundamental building blocks in TensorFlow. They represent the data flowing through the computational graph. Tensors can be scalars, vectors, matrices, or … Read more

TensorFlow Installation Guide: CPU : pip install tensorflow-cpu GPU : pip install tensorflow-gpu To install TensorFlow, you can follow these steps: Check Prerequisites: Ensure that you have Python installed on your system. TensorFlow supports Python versions 3.5 to 3.8. Create Virtual Environment (optional but recommended): It’s a good practice to create a virtual environment for … Read more

TensorFlow is an open-source Machine Learning library. It is a fast, flexible, and low-level toolkit for doing complex algorithms and offers users customizability to build experimental learning architectures and to work on them to produce desired outputs. A concise and accurate answer to the question “What is TensorFlow?” for an artificial intelligence interview would be: … Read more