English | Size: 2.21 GB
Genre: eLearning
What you’ll 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
Who this course is for:
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
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