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

Sinopsis

Unlock the full potential of TensorFlow with this comprehensive, hands-on guide! Whether you're a beginner or an experienced developer, this book takes you from the fundamentals of deep learning to advanced AI applications using TensorFlow.

✅ Deep Learning Basics – Build and train neural networks with tf.keras
✅ Computer Vision – Master CNNs, object detection, and image classification
✅ Natural Language Processing (NLP) – Implement transformers, sentiment analysis, and text summarization
✅ Reinforcement Learning – Train AI agents using Deep Q-Learning & PPO
✅ Model Optimization – Fine-tune hyperparameters, optimize memory, and speed up training
✅ Deployment & Production – Deploy TensorFlow models on mobile, cloud, and edge devices

🔹 Hands-on Projects – Real-world case studies in vision, NLP, and RL
🔹 Step-by-Step Tutorials – Clear, practical exercises with full code examples
🔹 Latest TensorFlow Features – Covers TF 2.x, TensorFlow Lite, and TensorFlow Serving

🚀 Start your journey into AI and machine learning today!

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