TensorFlow: A Complete Guide: A Step-by-Step Approach to Deep Learning, NLP, and Reinforcement Learning - Softcover

KITS FOR LIFE

Softcover

ISBN 13: 9798310819726

Publisher: Independently published, 2025

Synopsis

Master TensorFlow: Hands-On Deep Learning, AI, and Machine Learning Projects for Developers

Unlock the full power of TensorFlow, the world’s leading open-source library for deep learning and AI development. Whether you’re a beginner exploring AI or an experienced developer advancing your skills, this hands-on guide takes you from foundational concepts to real-world applications in computer vision, NLP, and reinforcement learning.

What You Will Learn:

✅ Deep Learning Fundamentals – Build, train, and evaluate neural networks with tf.keras.
✅ Computer Vision – Master CNNs, object detection, image classification, and real-world vision projects.
✅ Natural Language Processing (NLP) – Implement transformers, sentiment analysis, text summarization, and language modeling.
✅ Reinforcement Learning (RL) – Train intelligent agents with Deep Q-Learning, PPO, and policy-based techniques.
✅ Model Optimization – Fine-tune hyperparameters, optimize memory usage, and accelerate training for large-scale models.
✅ Deployment & Production – Deploy TensorFlow models on mobile, cloud, and edge devices with TensorFlow Lite and TensorFlow Serving.

Why This Book Is Essential:

🔹 Hands-On Projects: Apply AI techniques to real-world scenarios in vision, NLP, and RL.
🔹 Step-by-Step Tutorials: Follow clear instructions and full code examples for every project.
🔹 Latest TensorFlow Features: Covers TensorFlow 2.x, TensorFlow Lite, and TensorFlow Serving.
🔹 Boost Your Career: Build AI skills that are in high demand across tech, research, and industry.

💡 Start building intelligent applications today—learn, practice, and deploy AI models confidently.
📥 Get your copy now and accelerate your journey in AI, deep learning, and TensorFlow development!

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Edition details

• Publisher: Independently published
• Publication date: 2025
• Language: English
• ISBN 13: 9798310819726
• Binding: Paperback
• Number of pages: 71