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Build your machine learning portfolio by developing six cutting-edge artificial intelligence projects using neural networks in PythonKey FeaturesDiscover neural network architectures, such as CNNs and LSTMs that are driving recent advancements in AIBuild expert neural networks in Python using popular libraries such as KerasExplore projects such as object detection, face identification, and sentiment analysisBook DescriptionNeural networks are at the core of recent artificial intelligence (AI) advances, providing some of the best solutions to many real-world problems, such as image recognition, medical diagnosis, and text analysis. This book takes you through the fundamental neural network and deep learning concepts, as well as popular Python libraries for implementing them.You will discover practical demonstrations of neural networks in domains such as fare prediction, image classification, and sentiment analysis. In each case, the book will provide a problem statement, the specific neural network architecture required to tackle that problem, the reasoning behind the algorithm used, and even the associated Python code to implement the solution from scratch. In the process, you will gain hands-on experience in using popular Python libraries such as Keras to build and train your own neural networks from scratch.By the end of this book, you'll be well-versed with the different neural network architectures and have developed a variety of AI projects in Python that will strengthen your machine learning portfolio.What you will learnTrain an autoencoder from scratch and use it to remove noise from imagesUnderstand deep learning in Python by building and training neural networksGet up to speed with neural networks for regression and classificationApply convolutional neural networks (CNNs) for image recognitionLearn sentiment analysis on textual data using long short-term memory (LSTM)Build and train a highly accurate facial recognition security systemWho this book is forThis book is for data scientists, machine learning engineers, and deep learning enthusiasts who want to develop practical neural network projects in Python. Basic knowledge of machine learning and neural networks is required to get the most out of this book.Table of ContentsMachine Learning and Neural Networks 101Predicting Diabetes with Multilayer PerceptronsPredicting Taxi Fares with Deep Feedforward NetworksCats Versus Dogs - Image Classification Using CNNsRemoving Noise from Images Using AutoencodersSentiment Analysis of Movie Reviews Using LSTMImplementing a Facial Recognition System with Neural NetworksWhat's Next?
eBook details
- Title: Neural Network Projects with Python: The ultimate guide to using Python to explore the true power of neural networks through six projects
- Author : James Loy
- Release Date : *
- Genre: Books,Computers & Technology,Computer Science
- Pages : * pages
- Size : * KB
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