£43.09

Deep Learning and AI Superhero: Mastering TensorFlow, Keras, and PyTorch: Advanced Machine Learning and AI, Neural Networks, and Real-World Projects (Mastering the AI Revolution)

AI & Machine Learning

Price data last checked 131 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

This is the most expensive it has ever been. Walk away.

£43 today · previous high £43 · all-time low £38

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 477 days • 477 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 477 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £43 (409 days, 85.7%)

Price range: £38 - £43

Price levels: 3 different prices over 477 days

Description

This Book grants Free Access to our e-learning Platform, which includes: Free Repository Code with all code blocks used in this book Access to Free Chapters of all our library of programming published books Free premium customer support Much more... Unleash Your AI Superpowers with Deep Learning Deep learning is transforming industries by enabling machines to see, hear, and understand the world. With Deep Learning and AI Superhero: Mastering Deep Learning with TensorFlow, Keras, and PyTorch, you will learn how to build state-of-the-art deep learning models using the most powerful frameworks available. Whether you're an experienced machine learning practitioner or just starting with deep learning, this book equips you with the tools and knowledge to tackle the most complex AI challenges. What You Will Learn Master Neural Networks and Deep Learning Understand how neural networks work and explore the core principles of deep learning. Learn to build and train models that can recognize patterns, classify data, and solve complex tasks using backpropagation, gradient descent, and more. Harness the Power of TensorFlow, Keras, and PyTorch Build deep learning models with TensorFlow 2.x, the world’s most powerful AI platform. Use Keras for quick, high-level modeling, and explore PyTorch for flexible, research-driven experimentation. You’ll learn to apply each framework to build, train, and deploy deep learning models. Advanced AI Techniques Go beyond the basics and dive deep into advanced architectures: Convolutional Neural Networks (CNNs) for image classification. Recurrent Neural Networks (RNNs) and LSTMs for sequential data and time series. Transformer models for state-of-the-art natural language processing (NLP) tasks. Cutting-Edge AI Applications Master the latest AI techniques, including Generative Adversarial Networks (GANs), Autoencoders, and Transfer Learning. Build AI systems capable of generating new data, improving model accuracy, and tackling high-level tasks. Hands-On Projects for Practical Learning Apply deep learning techniques to real-world problems with hands-on projects: Image Classification with CNNs: Train models for image recognition and object detection. Sentiment Analysis: Use Transformer models to analyze and generate text. Time Series Forecasting with RNNs: Build models to predict future trends based on historical data. Image Generation with GANs: Create AI systems that generate new, realistic images. These projects help you solidify your deep learning knowledge and gain practical experience in solving real-world AI problems. Who Is This Book For? Data scientists and machine learning engineers looking to master deep learning techniques. AI enthusiasts ready to expand their skillset and work with the most cutting-edge tools in AI. Developers and engineers who want to build and deploy advanced AI systems. Whether you’re looking to elevate your AI expertise or break into the world of deep learning, this book gives you everything you need to become a deep learning and AI superhero. Take Your Deep Learning Skills to the Next Level With Deep Learning and AI Superhero: Mastering Deep Learning with TensorFlow, Keras, and PyTorch, you’ll be prepared to build sophisticated AI systems, apply deep learning to complex problems, and push the boundaries of artificial intelligence. Are you ready to unleash your AI superpowers and lead the next wave of innovation?

Product Specifications

Format: Paperback
ASIN: B0DJPD9YN7
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 07 October 2024
Listed Since: 08 October 2024

Barcode

No barcode data available

Deep Learning and AI Superhero: Mastering TensorFlow, Keras, and PyTorch: Advanced Machine Learning and AI, Neural Networks, and Real-World Projects (Mastering the AI Revolution)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence (Addison-Wesley Data & Analytics Series)

Machine Learning Hero: Master Data Science with Python Essentials: Machine Learning with Python Hands-On Guide from Beginner to Expert: 1 (Mastering the AI Revolution)

Understanding Deep Learning: Building Machine Learning Systems with PyTorch and TensorFlow: From Neural Networks (CNN, DNN, GNN, RNN, ANN, LSTM, GAN) to Natural Language Processing (NLP)

Understanding Deep Learning: Building Machine Learning Systems with PyTorch and TensorFlow: From Neural Networks (CNN, DNN, GNN, RNN, ANN, LSTM, GAN) to Natural Language Processing (NLP)

Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

Principles and Labs for Deep Learning

State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem

Hands-On Artificial Intelligence for Beginners: An introduction to AI concepts, algorithms, and their implementation

Practical TensorFlow.js: Deep Learning in Web App Development

Mastering PyTorch: Build powerful neural network architectures using advanced PyTorch 1.x features

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

A Greater Foundation for Machine Learning Engineering: The Hallmarks of the Great Beyond in Pytorch, R, Tensorflow, and Python

Math and Architectures of Deep Learning

Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models

Behavior Analysis with Machine Learning Using R (Chapman & Hall/CRC The R Series)

Behavior Analysis with Machine Learning Using R (Chapman & Hall/CRC The R Series)

Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python

Mathematical Foundations for Deep Learning

Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch

Deep Learning: A Visual Approach

Sensor Data Analysis and Management: The Role of Deep Learning (IEEE Press)

Mastering Java Machine Learning: A Java developer's guide to implementing machine learning and big data architectures