AI & ML
Deep Learning with TensorFlow
Master core concepts of Deep Learning with Google's TensorFlow- a distributed scalable deep learning platform. Our Deep Learning course aids in building Deep Learning Models and Applications in TensorFlow, suitable for different business domains. Train your team on TensorFlow and Neural Nets to solve complex Organizational problems.
What is Deep Learning Training about?
Deep Learning training program provides a comprehensive understanding of TensorFlow Core architecture, API layers, and real-world AI applications. It covers unsupervised learning models, deep learning models, and advanced architectures like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Autoencoders.
What are the objectives of Deep Learning Training ?
By the end of this training, you will be able to:
- Understand the core architecture of TensorFlow and its API layers
- Develop TensorFlow graphs for AI computations
- Use logistic regression for classification tasks
- Build and train multi-layer neural networks
- Master activation functions & optimizers to enhance model performance
- Implement CNNs for image recognition
- Develop RNNs and understand their applications
- Fine-tune hyperparameters to optimize AI models
- Build real-world AI applications like recommendation systems, speech recognition, and object detection
- Lead ML/DL projects using TensorFlow
Who should take this Deep Learning with TensorFlow Training?
This training program is ideal for:
- Machine Learning Engineers
- Data Analysts
- Data Scientists
- Anyone interested in TensorFlow & Deep Learning
- Teams starting AI/Deep Learning projects
What are the prerequisites for Deep Learning with TensorFlow Training?
- Basic Python programming knowledge (Mandatory).
- Fundamental understanding of Machine Learning (Mandatory)
- Familiarity with Deep Neural Networks (DNNs)--Suggested
- Understanding of MNIST dataset--Suggested
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