Certificate in Convolutional Neural Networks for Visual Recognition
-- ViewingNowThe Certificate in Convolutional Neural Networks for Visual Recognition is a comprehensive course that focuses on the design, implementation, and application of Convolutional Neural Networks (CNNs) for visual recognition tasks. This certification is crucial for professionals seeking to stay updated with the latest advancements in AI and machine learning.
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⢠Introduction to Convolutional Neural Networks (CNNs)
⢠Understanding Neurons and Convolutional Layers
⢠Pooling Layers and their Impact on CNNs
⢠Activation Functions in CNNs: ReLU, Sigmoid, and Softmax
⢠CNN Architectures: LeNet, AlexNet, VGG, GoogLeNet, and ResNet
⢠Training Convolutional Neural Networks: Backpropagation, Optimizers, and Loss Functions
⢠Transfer Learning and Fine-Tuning in CNNs
⢠Object Detection and Image Segmentation with CNNs
⢠Real-World Applications of CNNs in Visual Recognition
⢠Designing and Implementing CNNs using Popular Frameworks (TensorFlow, Keras, PyTorch)
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