Deep Learning: Convolutional Neural Networks in Python

Tensorflow 2 CNNs for Computer Vision, Natural Language Processing (NLP) +More! For Data Science & Machine Learning

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?

• Understand convolution and why it's useful for Deep Learning
• Understand and explain the architecture of a convolutional neural network (CNN)
• Implement a CNN in TensorFlow 2
• Apply CNNs to challenging Image Recognition tasks
• Apply CNNs to Natural Language Processing (NLP) for Text Classification (e.g. Spam Detection, Sentiment Analysis)
• Understand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion

Requirements

• Basic math (taking derivatives, matrix arithmetic, probability) is helpful
• Python, Numpy, Matplotlib

Target audience

• Students, professionals, and anyone else interested in Deep Learning, Computer Vision, or NLP
• Software Engineers and Data Scientists who want to level up their career