• Tensor - Multidimencial Array
• TensorFlow Open Source

• How to go from a Python newbie to a Google Certified TensorFlow Developer under two months

• How I got TensorFlow Developer Certified

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1. DeepLearning.AI TensorFlow Developer Professional Certificate

• Course 1: Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
• Course 2: Convolutional Neural Networks in TensorFlow
• Course 3: Natural Language Processing in TensorFlow
• Course 4: Sequences, Time Series and Prediction

2. TensorFlow: Data and Deployment Specialization

• Course 1: Browser-based Models with TensorFlow.js
• Course 2: Device-based Models with TensorFlow Lite
• Course 3: Data Pipelines with TensorFlow Data Services
• Course 4: Advanced Deployment Scenarios with TensorFlow

3. TensorFlow: Advanced Techniques Specialization

• Course 1: Custom Models, Layers, and Loss Functions with TensorFlow
• Course 2: Custom and Distributed Training with TensorFlow
• Course 3: Advanced Computer Vision with TensorFlow
• Course 4: Generative Deep Learning with TensorFlow

4. Generative Adversarial Networks (GANs) Specialization

• Course 1: Build Basic Generative Adversarial Networks (GANs)
• Course 2: Build Better Generative Adversarial Networks (GANs)
• Course 3: Apply Generative Adversarial Networks (GANs)

5. Deep Learning Specialization

• Course 1: Neural Networks and Deep Learning
• Course 2: Improving Deep Neural Networks
• Course 3: Structuring Machine Learning Projects
• Course 4: Convolutional Neural Networks
• Course 5: Sequence Models

6. Natural Language Processing Specialization

• Course 1: Natural Language Processing with Classification and Vector Spaces
• Course 2: Natural Language Processing with Probabilistic Models
• Course 3: Natural Language Processing with Sequence Models
• Course 4: Natural Language Processing with Attention Models

7. Machine Learning Engineering for Production (MLOps) Specialization

• Course 1: Introduction to Machine Learning in Production
• Course 2: Machine Learning Data Lifecycle in Production
• Course 3: Machine Learning Modeling Pipelines in Production
• Course 4: Deploying Machine Learning Models in Production

I) Google Cloud Certification: Machine Learning Engineer Here

• Course 1: Google Cloud Platform Big Data and Machine Learning Fundamentals
• Course 2: How Google does Machine Learning
• Course 3: Launching into Machine Learning
• Course 4: Introduction to TensorFlow
• Course 5: Feature Engineering
• Course 6: Art and Science of Machine Learning
• Course 7: Production Machine Learning Systems
• Course 8: MLOps (Machine Learning Operations) Fundamentals
• Course 9: ML Pipelines on Google Cloud

II) Machine Learning with TensorFlow on Google Cloud Platform Specialization Here

• Course 1: How Google does Machine Learning
• Course 2: Launching into Machine Learning
• Course 3: Introduction to TensorFlow
• Course 4: Feature Engineering
• Course 5: Art and Science of Machine Learning

III) Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization Here

• Course 1: End-to-End Machine Learning with TensorFlow on GCP
• Course 2: Production Machine Learning Systems
• Course 3: Image Understanding with TensorFlow on GCP
• Course 4: Sequence Models for Time Series and Natural Language Processing
• Course 5: Recommendation Systems with TensorFlow on GCP

Chapter	Colab
Introduction
Text Classification