Learn all about TensorFlow
TensorFlow is an open-source framework for machine learning and deep learning. Developed by Google Brain Team, it provides a rich set of tools and libraries for building and training machine learning models, neural networks, and deep learning algorithms. TensorFlow is written in Python, but it also provides interfaces for several other languages, including C++, Java, and Go.
At its core, TensorFlow is a computational framework that enables developers to define and execute complex mathematical computations with large amounts of data. It uses a graph-based approach to represent mathematical computations as a directed graph, with nodes representing operations and edges representing the data inputs and outputs. This allows for efficient parallelization of computations across multiple CPUs and GPUs, making it possible to work with large datasets and complex models.
The eBook is in PDF format and costs $14.99
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The book covers the following:
1. Introduction to TensorFlow
What is TensorFlow?
The history of TensorFlow
Why use TensorFlow?
TensorFlow vs other machine learning frameworks
2. Getting started with TensorFlow
Installing TensorFlow
Creating a simple TensorFlow program
Understanding TensorFlow's computational graph
Using TensorFlow with Jupyter notebooks
3. Data preparation
Data preprocessing techniques
Data cleaning
Feature engineering
Data augmentation
Data normalization and scaling
4. Building machine learning models with TensorFlow
Regression models
Classification models
Neural networks
Convolutional neural networks
Recurrent neural networks
Transfer learning
5. Training and evaluating models
Choosing an appropriate loss function
Gradient descent and other optimization algorithms
Overfitting and underfitting
Evaluating model performance
Hyperparameter tuning
6. Deploying TensorFlow models
Exporting models for use in production
Serving TensorFlow models with TensorFlow Serving
Integrating TensorFlow models into web and mobile applications
7. Advanced topics in TensorFlow
Reinforcement learning
Generative models
Natural language processing with TensorFlow
Time series analysis
Distributed TensorFlow
8. TensorFlow in the real world
Case studies of successful TensorFlow implementations
Challenges and limitations of using TensorFlow in real-world applications
Best practices for using TensorFlow in production environments
The eBook is in PDF format and costs $14.99
Please click here to buy the eBook.
https://buy.stripe.com/6oE7uE4vK0KT2ic8yB
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Learn all about TypeScript
TypeScript is a popular programming language that was developed by Microsoft. It is an open-source language that is designed to enhance JavaScript's capabilities by adding features such as static typing, classes, and interfaces. TypeScript is often used in developing large-scale web applications and has gained a lot of popularity among developers in recent years.
The eBook is in PDF format and costs $14.99
Please click here to buy the eBook.
https://buy.stripe.com/aEU7uE7HWgJRbSM026
The book covers the following topics:
1. Introduction to TypeScript
1.1 What is TypeScript?
1.2 History of TypeScript
1.3 Advantages of using TypeScript
2. Getting started with TypeScript
2.1 Setting up TypeScript
2.2 Basic syntax and data types
2.2 Functions and parameters
2.4 Classes and interfaces
3. Advanced features of TypeScript
3.1 Generics
3.2 Enums
3.3 Decorators
3.4 Modules
4. Using TypeScript with frameworks and libraries
4.1 Angular
4.2 React
4.3 Node.js
4.4 Express
5. Best practices for TypeScript development
5.1 Type annotations and inference
5.2 Error handling
5.3 Code organization
5.4 Testing
6. Integrating TypeScript into existing projects
6.1 Migrating from JavaScript to TypeScript
6.2 Using TypeScript with legacy code
6.3 Working with external libraries
7. Tooling and workflow
7.1 Debugging TypeScript
7.2 Using linters and code formatters
7.3 Continuous integration and deployment
The eBook is in PDF format and costs $14.99
Please click here to buy the eBook.