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Speech Enhancement Using Deep Neural Network with Python

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Deep Learning Essentials

Language Processing, computer vision, speech recognition, and more Covers popular Python libraries such as Tensorflow, Keras, and more, along with;

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Deep Learning with Applications Using Python

required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing;

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Python Deep Learning

foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across;

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The Deep Learning with PyTorch Workshop

neural networks (ANNs) Handle computer vision problems with convolutional neural networks (CNNs) Perform language translation tasks using;

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Mastering PyTorch

overview of PyTorch and explores using convolutional neural network (CNN) architectures for image classification. You'll then work with recurrent;

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Deep Learning for Natural Language Processing

the problems that you can solve using state-of-the-art neural network models. After this, delving into the various neural network;

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PyTorch Recipes

Learn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new;

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Deep Learning with Keras

working Deep Neural Networks coded in Python using Keras.;

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TensorFlow 2.0 Quick Start Guide

techniques such as training neural networks Get acquainted with some new practices introduced in TensorFlow 2.0 Alpha Book DescriptionTensorFlow;

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Math For Deep Learning

as well as how to implement data flow in a neural network, backpropagation, and gradient descent. You'll also use Python to work through the;

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Advanced Deep Learning with Python

networks using the Python ecosystem Key Features Get to grips with building faster and more robust deep learning architectures Investigate and;

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Deep Learning from Scratch Building with Python from First Principles

With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many;

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Recurrent Neural Networks with Python Quick Start Guide

architectures for deep learning with Python's most popular TensorFlow framework. Key Features Train and deploy Recurrent Neural Networks using the;

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Applied Deep Learning and Computer Vision for Self-Driving Cars

. You will use real-world examples to implement various neural network architectures to develop your own autonomous and automated vehicle using;

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Hands-on Machine Learning with Python

analysis tools using Python with in-depth explanation on environment configuration, data loading, numerical processing, data analysis, and;

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Statistical Learning Using Neural Networks

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;

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Statistical Learning Using Neural Networks

Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;

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Hands-on Machine Learning with Python

analysis tools using Python with in-depth explanation on environment configuration, data loading, numerical processing, data analysis, and;

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Python Artificial Intelligence Projects for Beginners

Python Get well-versed with different types of neural networks and popular deep learning algorithms Leverage popular Python deep learning;

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Hands-On Neuroevolution with Python

Increase the performance of various neural network architectures using NEAT, HyperNEAT, ES-HyperNEAT, Novelty Search, SAFE, and deep;

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Make Your Own Neural Network

A step-by-step gentle journey through the mathematics of neural networks, and making your own using the Python computer language. Neural;

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Neural Network Programming with Python

network works is also explored. You are then guided on how to implement neural networks with Neupy, another Python library.The following topics;

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Deep Learning with Python

learning in Python. He has been working with deep neural networks since 2012. Francois is currently doing deep learning research at Google. He;

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Python Image Processing Cookbook

solve real-world image processing problems Key Features Discover solutions to complex image processing tasks using Python tools such as scikit;

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Deep Learning for NLP and Speech Recognition

various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural;

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Deep Learning for Nlp and Speech Recognition

various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural;

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