What does it mean to train a model on a dataset ?
Training a model on a dataset refers to the process of using a machine learning algorithm to learn the patterns, relationships, and representations within the … Read more
Team EasyExamNotes
What is MNIST ?
The MNIST database of handwritten digits is a dataset of 60,000 training examples and 10,000 testing examples. Each example is a 28×28 grayscale image of … Read more
How to implement Convolutional neural network in Python
Implementing a Convolutional Neural Network (CNN) in Python typically involves using a deep learning library, such as TensorFlow or PyTorch. Below, is a simple example … Read more
Python Library Updates
Do Python libraries automatically get updated? No, libraries in Python don’t update automatically by default. How to update a library in Python? To update a … Read more
Top Neural Network APIs for Python: TensorFlow, PyTorch, Keras, and More
Some popular neural network APIs for Python: 1. TensorFlow: 2. PyTorch: 3. Keras: 4. MXNet: 5. Theano: 6. Chainer: 7. CNTK (Microsoft Cognitive Toolkit): 8. … Read more
Convolutional neural network
Convolutional neural networks (CNNs) are a type of artificial neural network (ANN) that are particularly well-suited for analyzing grid-like data, such as images, videos, and … Read more
Which python libraries are used to load the dataset ?
When it comes to loading datasets in Python Programming it can be done using variety of libraries that depends on the format of data you … Read more
Long short-term memory (LSTM) networks
Long short-term memory (LSTM) networks are a type of recurrent neural network (RNN) architecture used in the fields of deep learning and machine learning. Unlike … Read more
Support Vector Machines
Support vector machines (SVMs) are a supervised machine learning algorithm used for classification and regression tasks. They are known for their effectiveness in high-dimensional spaces … Read more
Recurrent neural network
Definition Recurrent neural networks (RNNs) are a type of artificial neural network (ANN) that is well-suited for sequential data, such as natural language, speech, and … Read more