Deep Learning Convolutional Neural Networks in Python Udemy coupons

Deep Learning: Convolutional Neural Networks in Python

Use CNNs for Image Recognition, Natural Language Processing (NLP) +More! For Data Science, Machine Learning, and AI

Created by Lazy Programmers inc. | 12 hours on-demand video course


Learn about one of the most powerful Deep Learning architectures yet! The Convolutional Neural Network (CNN) has been used to obtain state-of-the-art results in computer vision tasks such as object detection, image segmentation, and generating photo-realistic images of people and things that don’t exist in the real world! This course will teach you the fundamentals of convolution and why it’s useful for deep learning and even NLP (natural language processing). You will learn about modern techniques such as data augmentation and batch normalization, and build modern architectures such as VGG yourself.

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)

Recommended Course

Deep Learning A-Z™: Hands-On Artificial Neural Networks [2022 Edition]

Deep Learning with TensorFlow 2.0 [2022]

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