Category: Machine Learning
-
What is a dense layer in RNN? and how is softmax used with them
A Dense layer, also known as a fully connected layer, is a type of layer in a neural network where each neuron is connected to every neuron in the previous layer. It’s like a classroom where every student (neuron) is friends with all students in the previous grade (layer). In the context of a Recurrent…
-
What is teacher forcing in a machine learning program?
Teacher forcing is a method used in training models like Recurrent Neural Networks (RNNs) which are often used for tasks like language translation or text generation. Let’s say you’re trying to train a model to translate English sentences to French. You give it an English sentence and it starts generating the French translation, one word…
-
How does model.fit work? what is computed under the hood?
model.fit is a function in Keras that trains the model for a fixed number of epochs (iterations on a dataset). It works by taking the training data and labels as input, and using these to adjust the model’s weights through a process called backpropagation and gradient descent. Here’s what happens under the hood: This process…
-
What is sparse categorical crossentropy in a machine learning program?
-
Unleashing the Power of Transformers: Your Ultimate Guide to Sequence-to-Sequence Modelling