Tensorflow 2.0: Deep Learning and Artificial Intelligence

Machine Learning & Neural Networks for Computer Vision, Time Series Analysis, NLP, GANs, Reinforcement Learning, +More!

Created by: Lazy Programmer Inc.
Artificial intelligence and machine learning engineer

Created by: Lazy Programmer Team
Artificial Intelligence and Machine Learning Engineer

What Will I Learn?

• 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
• Earn the Tensorflow Developer Certificate
• Understand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion

Requirements

• Know how to code in Python and Numpy
• For the theoretical parts (optional), understand derivatives and probability

Target audience

• Beginners to advanced students who want to learn about deep learning and AI in Tensorflow 2.0