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Basic Computer Vision with ML (ML Zero to Hero - Part 2)
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Classroom Contents
Coding TensorFlow
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- 1 Recommendation systems overview (Building recommendation systems with TensorFlow)
- 2 Content-based filtering & collaborative filtering (Building recommendation systems with TensorFlow)
- 3 Intro to TensorFlow Recommenders (Building recommendation systems with TensorFlow)
- 4 Building a ranking model with TF Recommenders (Building recommendation systems with TensorFlow)
- 5 Leveraging context features and multitask learning (Building recommendation systems with TensorFlow)
- 6 Deep & Cross Network (Building recommendation systems with TensorFlow)
- 7 Efficient serving with ScaNN for retrieval (Building recommendation systems with TensorFlow)
- 8 Natural Language Processing - Tokenization (NLP Zero to Hero - Part 1)
- 9 Sequencing - Turning sentences into data (NLP Zero to Hero - Part 2)
- 10 Training a model to recognize sentiment in text (NLP Zero to Hero - Part 3)
- 11 ML with Recurrent Neural Networks (NLP Zero to Hero - Part 4)
- 12 Long Short-Term Memory for NLP (NLP Zero to Hero - Part 5)
- 13 Training an AI to create poetry (NLP Zero to Hero - Part 6)
- 14 Neural Structured Learning - Part 1: Framework overview
- 15 Neural Structured Learning - Part 2: Training with natural graphs
- 16 Neural Structured Learning - Part 3: Training with synthesized graphs
- 17 Neural Structured Learning - Part 4: Adversarial learning for image classification
- 18 Announcing TensorFlow 2.0 (Coding TensorFlow)
- 19 Build an image classifier (ML Zero to Hero - Part 4)
- 20 Introducing convolutional neural networks (ML Zero to Hero - Part 3)
- 21 Basic Computer Vision with ML (ML Zero to Hero - Part 2)
- 22 Intro to Machine Learning (ML Zero to Hero - Part 1)
- 23 Distributed Processing and Components (TensorFlow Extended)
- 24 Why do I need metadata? (TensorFlow Extended)
- 25 How do TFX pipelines work? (TensorFlow Extended)
- 26 What exactly is this TFX thing? (TensorFlow Extended)
- 27 Get started with using TensorFlow to solve for regression problems (Coding TensorFlow)
- 28 Upgrade your existing code for TensorFlow 2.0 (Coding TensorFlow)
- 29 How to take advantage of GPUs and TPUs for your ML project (Coding TensorFlow)
- 30 Build a deep neural network in 4 mins with TensorFlow in Colab
- 31 Getting Started with TensorFlow in Google Colaboratory (Coding TensorFlow)
- 32 Get started with Google Colaboratory (Coding TensorFlow)
- 33 TensorFlow Lite, Experimental GPU Delegate (Coding TensorFlow)
- 34 TensorFlow high-level APIs: Part 3 - Building and refining your models
- 35 TensorFlow high-level APIs: Part 2 - going deep on data and features
- 36 TensorFlow high-level APIs: Part 1 - loading data
- 37 Saving and Loading Models (Coding TensorFlow)
- 38 Solve your model’s overfitting and underfitting problems - Pt.2 (Coding TensorFlow)
- 39 Solve your model’s overfitting and underfitting problems - Pt.1 (Coding TensorFlow)
- 40 Designing a neural network | Text Classification Tutorial Pt. 2 (Coding TensorFlow)
- 41 Prepare your data for ML | Text Classification Tutorial Pt. 1 (Coding TensorFlow)
- 42 Use TensorFlow to classify clothing images (Coding TensorFlow)
- 43 Build a neural network to perform classification | TensorFlow.js (Coding TensorFlow)
- 44 Prepare your dataset for machine learning (Coding TensorFlow)
- 45 Try TensorFlow.js in your browser (Coding TensorFlow)
- 46 TensorFlow Lite for iOS (Coding TensorFlow)
- 47 TensorFlow Lite for Android (Coding TensorFlow)
- 48 Introducing TensorFlow Lite (Coding TensorFlow)
- 49 All About TensorFlow Code (Coding TensorFlow)
