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Deep Learning: Convolutional Neural Networks in Python

Tensorflow 2 CNNs for Computer Vision, Natural Language Processing (NLP) +More! For Data Science & Machine Learning
4.6 ★★★★★47,075 studentsCreated by Lazy Programmer Team, Lazy Programmer Inc.Last updated Nov 3, 2025🌐 English

What you'll 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-5, DALL-E, Midjourney, and Stable Diffusion

Requirements

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

Description

Frequently Asked Questions

Student Feedback

4.6
★★★★★
Course Rating
75%
15%
5%
5%
5%
S
Sarah J.
★★★★★2 weeks ago

This course was absolutely amazing! The instructor explained everything clearly and the projects were very helpful.

M
Michael T.
★★★★1 month ago

Great content, highly recommended for beginners. Just wish there were more practice exercises.

D
David K.
★★★★★2 months ago

Best course on this topic I've taken so far. Worth every penny (even better since I got it for free!).

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