Price: $18.00
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ASIN ‏ : ‎ B077PW98JB
Publisher ‏ : ‎ Packt Publishing; 1st edition (March 28, 2018)
Publication date ‏ : ‎ March 28, 2018
Language ‏ : ‎ English
File size ‏ : ‎ 19369 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 581 pages

TensorFlow Deep Learning Projects: 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning

Are you looking to dive into the world of deep learning and TensorFlow? Look no further! In this post, we will explore 10 real-world projects that showcase the power of TensorFlow in various domains such as computer vision, machine translation, chatbots, and reinforcement learning.

1. Image Classification: Build a deep learning model using TensorFlow to classify images into different categories such as animals, vehicles, and objects.

2. Object Detection: Create a model that can detect and localize objects in images using TensorFlow’s powerful object detection APIs.

3. Facial Recognition: Develop a facial recognition system using TensorFlow to identify individuals from a database of faces.

4. Sentiment Analysis: Build a deep learning model that can analyze and classify the sentiment of text data using TensorFlow.

5. Machine Translation: Create a neural machine translation system using TensorFlow to translate text from one language to another.

6. Chatbot: Develop a conversational AI chatbot using TensorFlow to interact with users and provide helpful responses.

7. Speech Recognition: Build a speech recognition system using TensorFlow to transcribe audio input into text.

8. Reinforcement Learning: Implement a reinforcement learning algorithm using TensorFlow to train an agent to navigate a virtual environment and achieve specific goals.

9. Style Transfer: Create a deep learning model using TensorFlow to transfer the style of one image onto another image.

10. Generative Adversarial Networks (GANs): Build a GAN model using TensorFlow to generate realistic images from random noise.

These projects serve as great examples of the diverse applications of deep learning and TensorFlow in real-world scenarios. So, roll up your sleeves and start experimenting with these exciting projects today!
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