Deep Learning with Python: Deep Neural Networks A deep neural network (DNN) is a type of neural network with multiple hidden layers between the input and output layers. Similar to shallow ANNs, DNNs can model complex nonlinear relationships. The main…
Introduction to Deep Learning in Python Deep structured learning, or hierarchical learning, or simply deep learning, is part of a family of machine learning methods, itself a subset of the broader field of artificial intelligence. Deep learning is a class…
Deep Learning in Python: Computational Graphs In deep learning frameworks like TensorFlow, Torch, and Theano, backpropagation is implemented using computational graphs. More importantly, understanding backpropagation through computational graphs combines several different algorithms and their variations, such as backpropagation through time…
Python Deep Learning Basics: Machine Learning Artificial intelligence (AI) is any code, algorithm, or technique that enables computers to mimic human cognitive behavior or intelligence. Machine learning (ML) is a subset of AI that uses statistical methods to enable machines…
Python Deep Learning Libraries and Frameworks In this chapter, we’ll connect deep learning with different libraries and frameworks. Deep Learning and Theano If we want to start coding a deep neural network, it’s best to understand how different frameworks, such…
Training a Neural Network in Python Deep Learning We will now learn how to train a neural network. We will also learn about the backpropagation algorithm and backward pass in Python deep learning. We must find the optimal weight values…
Python Deep Learning Basics In this chapter, we’ll explore the fundamentals of deep learning in Python. Deep Learning Models/Algorithms Now let’s take a look at different deep learning models Some popular models in deep learning are as follows Convolutional Neural…
Python Deep Learning Artificial Neural Networks Artificial neural networks, or neural networks for short, are not a new idea. They have been around for about 80 years. Deep neural networks only became popular in 2011 with the use of new…
Python Deep Learning Tutorial Python is a general-purpose, high-level programming language widely used in data science and for developing deep learning algorithms. This short tutorial introduces Python and its libraries, such as Numpy, Scipy, Audience This course is for professionals…
Python Deep Learning Environment Setup In this chapter, we will learn about setting up an environment for Python deep learning. We must install the following software to create deep learning algorithms. Python 2.7 and above Scipy with Numpy Matplotlib Theano…