Sep 26, 2023 · This practical book gives a detailed description of deep learning models and their implementation using Python programming relating to computer vision, natural language processing, and other applications. Show all.

Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing, and face and object recognition. The goal is to equip you with the concepts, techniques, and algorithm implementations needed to create programs capable of …

Sep 26, 2023 · In deep learning, most of the models like Baysian model, Hidden Markov model, probability graphical model completely depend on the concepts of probability. Both back propagation and regularization have been used to improve the working of neural network. Back propagation is the important part of training the neural network.

Feb 9, 2023 · In this article, we’ll learn about the basics of Deep Learning with Python and see how neural networks work. You can successfully prepare for your next deep learning job interview in 2022 with these commonly asked deep learning interview questions. What is Deep Learning?

Below, we are discussing 20 best applications of deep learning with Python, that you must know. Let’s discuss them one by one: i. Restoring Color in B&W Photos and Videos. With Deep Learning, it is possible to restore color in black and white photos and videos. This can give a new life to such media.

This book thoroughly explains deep learning models and how to use Python programming to implement them in applications such as NLP, face detection, face recognition, face analysis, and virtual assistance (chatbot, machine translation, etc.). It provides hands-on guidance in using Python for implementing deep learning application models.

Apr 19, 2023 · In this article, we will learn how to build applications like automatic image tagging, apparel recommendation, music generation using deep learning and many more. And you will be able to build any of these applications with in minutes! P.S. The article assumes, you know the basics of Python.

This paper discusses the advancements in deep learning techniques and their applications using Python, particularly focusing on chatbots and recognition systems such as face, object, and speech recognition.

Oct 19, 2023 · • Design, develop, train, validate, and deploy deep neural networks using the Keras framework • Use best practices for debugging and validating deep learning models • Deploy and integrate ...

Apr 8, 2025 · Text embeddings have revolutionized natural language processing by providing dense vector representations that capture semantic meaning. In the previous tutorial, you learned how to generate these embeddings using transformer models. In this post, you will learn the advanced applications of text embeddings that go beyond basic tasks like semantic search and document clustering. Specifically ...