Tensorflow 2.0: Deep Learning and Artificial Intelligence

In April 2020 I completed the specialization Tensorflow 2.0: Deep Learning and Artificial Intelligence by udemy. In this specialization, I learned about :

• Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)
• Predict Stock Returns
• Time Series Forecasting
• Computer Vision
• How to build a Deep Reinforcement Learning Stock Trading Bot
• GANs (Generative Adversarial Networks)
• Recommender Systems
• Image Recognition
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Use Tensorflow Serving to serve your model using a RESTful API
• Use Tensorflow Lite to export your model for mobile (Android, iOS) and embedded devices
• Use Tensorflow’s Distribution Strategies to parallelize learning
• Low-level Tensorflow, gradient tape, and how to build your own custom models
• Natural Language Processing (NLP) with Deep Learning
• Demonstrate Moore’s Law using Code
• Transfer Learning to create state-of-the-art image classifiers

Credential ID: Tensorflow 2.0: Deep Learning and Artificial Intelligence