Deep Learning Tutorial

Recurrent Neural Networks Why not Feedforward Networks? Feedforward networks are used to classify images. Let us understand the concept of a feedforward…

Deep Learning Algorithms What is Deep Learning Algorithm? Deep learning can be defined as the method of machine learning and artificial intelligence…

Deep Learning Tutorial Deep learning is based on the branch of machine learning, which is a subset of artificial intelligence. Since neural…

Keras Sequential Class Sequential class tf.keras.Sequential(layers=None, name=None) The Keras sequential class helps to form a cluster of a layer that is linearly…

Artificial Neural Networks At earlier times, the conventional computers incorporated algorithmic approach that is the computer used to follow a set of…

The Model class Model class tf.keras.Model() It is very beneficial in alliancing the layers into an object that encompasses features like training…

Keras backends Keras is a model-level library, offers high-level building blocks that are useful to develop deep learning models. Instead of supporting…

Keras Convolutional Layers Conv1D keras.layers.Conv1D(filters, kernel_size, strides=1, padding=’valid’, data_format=’channels_last’, dilation_rate=1, activation=None, use_bias=True, kernel_initializer=’glorot_uniform’, bias_initializer=’zeros’, kernel_regularizer=None, bias_regularizer=None, activity_regularizer=None, kernel_constraint=None, bias_constraint=None) It refers to…

Pooling Layers MaxPooling1D keras.layers.MaxPooling1D(pool_size=2, strides=None, padding=’valid’, data_format=’channels_last’) This layer performs max pooling operations for the temporal data. Arguments pool_size: It refers to…

Convolutional Neural Network Convolutional Neural Networks are a special type of feed-forward artificial neural network in which the connectivity pattern between its…