[center]The TensorFlow Workshop | 163 | Matthew Moocarme | Packt Publishing | 9781800205253[/align]
✅ Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging activities
Key Features ✔Understand the fundamentals of tensors, neural networks, and deep learning
✔Discover how to implement and fine-tune deep learning models for real-world datasets
✔Build your experience and confidence with hands-on exercises and activities
Book Description Getting to grips with tensors, deep learning, and neural networks can be intimidating and confusing for anyone, no matter their experience level. The breadth of information out there, often written at a very high level and aimed at advanced practitioners, can make getting started even more challenging.
If this sounds familiar to you, The TensorFlow Workshop is here to help. Combining clear explanations, realistic examples, and plenty of hands-on practice, it'll quickly get you up and running.
You'll start off with the basics - learning how to load data into TensorFlow, perform tensor operations, and utilize common optimizers and activation functions. As you progress, you'll experiment with different TensorFlow development tools, including TensorBoard, TensorFlow Hub, and Google Colab, before moving on to solve regression and classification problems with sequential models.
Building on this solid foundation, you'll learn how to tune models and work with different types of neural network, getting hands-on with real-world deep learning applications such as text encoding, temperature forecasting, image augmentation, and audio processing.
By the end of this deep learning book, you'll have the skills, knowledge, and confidence to tackle your own ambitious deep learning projects with TensorFlow.
What you will learn ✔Get to grips with TensorFlow's mathematical operations
✔Pre-process a wide variety of tabular, sequential, and image data
✔Understand the purpose and usage of different deep learning layers
✔Perform hyperparameter-tuning to prevent overfitting of training data
✔Use pre-trained models to speed up the development of learning models
✔Generate new data based on existing patterns using generative models
Who this book is for This TensorFlow book is for anyone who wants to develop their understanding of deep learning and get started building neural networks with TensorFlow. Basic knowledge of Python programming and its libraries, as well as a general understanding of the fundamentals of data science and machine learning, will help you grasp the topics covered in this book more easily.
Ready to throw your hat into the AI and machine learning ring? Get started right here, right now!
Are you sick of these machine-learning guides that don't really teach you anything?
Do you already know Python, but you're looking to expand your horizons and skills with the language?
Do you want to dive into the amazing world of neural networks, but it just seems like it's. not for you?
Artificial intelligence is progressing at a fantastic rate-every day, a new innovation hits the net, providing more and more opportunities for the advancement of society.
In your everyday life, your job, and even in your passion projects, learning how to code a neural network can be game-changing.
But it just seems. complicated. How do you learn everything that goes into such a complex topic without wanting to tear your own hair out?
Well, it just got easier.
Machine learning and neural networking don't have to be complicated-with the right resources, you can successfully code your very own neural network from scratch, minimal experience needed!
In this all-encompassing guide to coding neural networks in Python, you'll uncover everything you need to go from zero to hero-transforming how you code and the scope of your knowledge right before your eyes.
Here's just a portion of what you will discover in this guide
A comprehensive look at what a neural network is - including why you would use one and the benefits of including them in your repertoire
All that pesky math dissuading you? Get right to the meat and potatoes of coding without all of those confusing equations getting you down
Become a debugging master with these tips for handling code problems, maximizing your efficiency as a coder, and testing the data within your code
Technological advancements galore! Learn how to keep up with all the latest trends in tech-and why doing so is important to you
What in the world are layers and gradients? Detailed explanations of complex topics that will demystify neural networks, once and for all
Dealing with underfitting, overfitting, and other oversights that many other resources overlook
Several beginner-friendly neural network projects to put your newfound knowledge to the test
And much more.
Imagine a world where machine learning is more accessible, where neural networks and other complex topics are available to people just like you-people with a passion. Allowing for such technological advancements is going to truly change our world.
It might seem hard, and you might be concerned based on other resources you've browsed-but this isn't an opportunity you can pass up on! By the end of this book, you'll have mastered neural networks confidently!
✅ Contents of download скачать:
⭐️ Building Neural Networks from Scratch with Python by L.D. Knowings.pdf (40.09 MB)
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✅ Building Neural Networks from Scratch with Python (40.09 MB)
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