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Key benefits

Discover neural network architectures (like CNN and LSTM) that are driving recent advancements in AI

Build expert neural networks in Python using popular libraries such as Keras

Includes projects such as object detection, face identification, sentiment analysis, and more

Description

Neural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more. This book goes through some basic neural network and deep learning concepts, as well as some popular libraries in Python for implementing them. It contains practical demonstrations of neural networks in domains such as fare prediction, image classification, sentiment analysis, and more. In each case, the book provides a problem statement, the specific neural network architecture required to tackle that problem, the reasoning behind the algorithm used, and the associated Python code to implement the solution from scratch. In the process, you will gain hands-on experience with using popular Python libraries such as Keras to build and train your own neural networks from scratch. By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio.

What you will learn

Learn various neural network architectures and its advancements in AI

Master deep learning in Python by building and training neural network

Master neural networks for regression and classification

Discover convolutional neural networks for image recognition

Learn sentiment analysis on textual data using Long Short-Term Memory

Build and train a highly accurate facial recognition security system

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

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Total ₹ 9,830.97

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Amazon verified reviews

sekhar Jun 28, 2021

The book is very good for beginners in tensorflow and neural network and cnn

Amazon Verified review

Cuauhtemoc Olmedo-Bustillo Nov 12, 2019

Excelent examples of increasing difficulty with very detailed explanations.

C Abhiram May 23, 2020

Very Good Book for people who want to go deeper into the concept.But, you need to have prior programming skills in python, just the basics as the book explains each line of code pretty well.Dont pay any money to learn python, just learn it on youtube it will be sufficient.

paulbright Mar 18, 2019

I thoroughly enjoyed this book. It starts with a simple raw NN network written in python without using any libraries. From here it proceeds to develop six end to end NN models complete with exploratory data analysis, visualization, feature engineering, actual NN creation and then a very helpful summary. It covers MLP, CNN, RNN, NLP, Siamese Neural Network etc. I highly recommend this to any student of Deep Learning who want to understand end to end development of a ML models.

raj Sep 08, 2020

A very good text book on neural net. The book supplements with some of the real life problems and its implementation with detailed explanation. Most of the case studies are taken from Kaggle. Highly recommended

Neural Network Projects with Python: The ultimate guide to using Python to explore the true power of neural networks through six projects

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