Convolutional Neural Networks with TensorFlow in Python

Advanced neural networks: Master Computer Vision with Convolutional Neural Networks (CNN) and Deep Learning

Created by: 365 Careers
Creating opportunities for Data Science and Finance students

What Will I Learn?

• Learn the fundamentals of Convolutional Neural Networks
• Perform Computer Vision and Machine Learning tasks
• Master working with TensorFlow and Tensorboard
• Understand kernels
• Get the hang of convolution and its role in CNNs
• Get familiar with L2 regularization and weight decay
• Grasp the concept of dropout
• Visualize networks and metrics using Tensorboard
• Approach multilabel classification
• Gain experience from a big real-world practical example
• Convert Images into Tensors
• Explore the concepts behind popular state-of-the-art CNN architectures

Requirements

• Python 3 and the Anaconda distribution
• Basic to Intermediate Python knowledge
• Understanding of Feed-forward neural networks
• Basic familiarity with TensorFlow 2
• Curiosity and enthusiasm to learn and practice

Target audience

• Anyone seeking to advance their skills in Machine Learning and Computer Vision
• This course is for you if you want to learn how Convolutional Neural Networks work
• Anyone who wants to make a career in Deep Learning
• Individuals who are curious and passionate about AI