Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning

[LeeAndro]

English | 2022 | ISBN: 9355510470 | 215 pages | True EPUB | 15.19 MB

A Practising Guide to TensorFlow and Deep Learning

[/b] Equipped with a necessary introduction to Deep Learning and AI.​

Includes demos and templates to give your projects a good start.
Find more on the most important facets of AI, image, and speech recognition.

This book bs with the configuration of an Anaconda development environment, essential for practicing the deep learning process. The basics of machine learning, which are needed for Deep Learning, are explained in this book.

TensorFlow is the industry-standard library for Deep Learning, and thereby, it is covered extensively with both versions, 1.x and 2.x. As neural networks are the heart of Deep Learning, the book explains them in great detail and systematic fashion, bning with a single neuron and progressing through deep multilayer neural networks. The emphasis of this book is on the practical application of key concepts rather than going in-depth with them.

After establishing a firm basis in TensorFlow and Neural Networks, the book explains the concepts of image recognition using Convolutional Neural Networks (CNN), followed by speech recognition, and natural language processing (NLP). Additionally, this book discusses Transformers, the most recent advancement in NLP.

Utilize TensorFlow 1.x to implement neural networks.
Work with the Keras API and TensorFlow 2.
Learn to design and train image categorization models.
Construct translation and Q & A apps using transformer-based language models.

2. Machine Learning
3. TensorFlow Programming
4. Neural Networks
5. TensorFlow 2
6. Image Recognition
7. Speech Recognition





DOWNLOAD

https://1dl.net/xqyz10mu5g0t/0wfTiZAm_Beginning_with_Deep_Learning_Using_TensorFlow__A_Beginners_Guide_to_TensorFlow_and_Keras_for_Practicing_Deep_Learning_Principles_and_Applications..rar.html