Hands on Real Projects using Deep learning with TensorFlow 2

Hands on Real Projects using Deep learning with TensorFlow 2, course 1 of 5 from Deep Tensor specialization

• NEW
• Created by Mohamed Elhaj Abdou
• English
• English [Auto-generated]

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What you'll learn

• Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)
• Machine Learning Algorithms
• Learn to use TensorFlow 2.0 for Deep Learning
• TensorFlow 1.x VS TensorFlow 2
• Image Recognition
• Computer Vision
• Convolutional Neural Network
• Optimize ANNs hyper parameters such as number of hidden layers and neurons to enhance network performance
• Learn how to train network weights and biases and select the proper transfer functions.
• Learn how to Create your own data-set
• Retrain a pretrained model
• YOLO object detector
• Apply Convolutional Neural Networks to classify images.
• build Deep Learning Algorithms from Scratch in Python Using NumPy and TensorFlow
• Requirements
• basics in math
• basics in deep learning
• Some basic Python programming skills
• You’ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course.
• All software and data used in the course are free.