Neural Network Projects with Python
This book contains practical implementations of several deep learning projects in multiple domains, including in regression-based tasks such as taxi fare prediction in New York City, image classification of cats and dogs using a convolutional neural network, implementing a facial recognition security system using Siamese Neural Networks, and more.
Offered by
Difficulty Level
Intermediate
Completion Time
10h16m
Language
English
About Book
Who Is This Book For?
This book is a perfect match for data scientists, machine learning engineers, and deep learning enthusiasts who wish to create practical neural network projects in Python. Readers should already have some basic knowledge of machine learning and neural networks.
Neural Network Projects with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h16m total length
Machine Learning and Neural Networks 101
Predicting Diabetes with Multilayer Perceptrons
Predicting Taxi Fares with Deep Feedforward Networks
Cats Versus Dogs - Image Classification Using CNNs
Removing Noise from Images Using Autoencoders
Sentiment Analysis of Movie Reviews Using LSTM
Implementing a Facial Recognition System with Neural Networks
What’s Next?
Related Resources
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