AI & ML
Deep Learning with Python
The training gives you an in-depth understanding of the architecture of Deep Neural Networks and its types, use of TensorFlow & Keras by implementing them in Python, API layers, and the use cases. Master unsupervised learning models, deep learning models and more.
What is Deep Learning with Python Training about?
This Deep Learning with Python Training teaches you how to build, train, and optimize deep neural networks using TensorFlow and Keras. You’ll explore different architectures like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Autoencoders, along with advanced Natural Language Processing (NLP) concepts.
Gain hands-on experience with real-world datasets in cloud labs, building models for image recognition, time-series forecasting, text summarization, and object localization.
Gain hands-on experience with real-world datasets in cloud labs, building models for image recognition, time-series forecasting, text summarization, and object localization.
What are the objectives of Deep Learning with Python Training ?
By the end of this training, you will be able to:
- Understand core architecture of Deep Neural Networks
- Use TensorFlow and Keras
- Implement regression models (Linear, Polynomial, Ridge, Lasso)
- Construct a computing environment and learn to install TensorFlow
- Develop TensorFlow graphs required for everyday computations
- Use logistic regression for classification along with TensorFlow
- Develop, design and train a multilayer neural network with TensorFlow
- Implement TensorFlow and Keras in Python
- Demonstrate Activation functions and Optimizers in detail with hands-on
- Demonstrate intuitively convolutional neural networks for image recognition
- Design and construct a neural network from simple to more accurate models
- Understand recurrent neural networks, its applications and learn how to build these solutions
- Learn how to build industry's leading uses cases eg, Recommendation systems, Speech recognition, commercial grade Image classification and object localization etc.,
- Lead ML/DL projects
Who should take this Deep Learning with Python Training?
This training program is ideal for:
- Data Engineers
- Data Analysts
- Data Scientists
- Machine Learning Engineers
- Anyone interested in Deep Learning, NLP, or TensorFlow/Keras
What are the prerequisites for Deep Learning with Python Training?
- Working Knowledge in Python
- Understanding of Machine Learning Models – Regression and Classification
- Working Knowledge of Python Machine Learning Module (scikit-learn)
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