Tensorflow and Keras Masterclass For Machine Learning and AI in Python
Get hands-on experience on Deep Learning Frameworks using Tensorflow & Keras and master the art of Machine Learning & AI.
This masterclass is designed for individuals eager to delve into the powerful world of TensorFlow and Keras, two leading frameworks for building and deploying machine learning models in Python.
What You Will Learn:
- Introduction to TensorFlow and Keras:
- Gain a foundational understanding of TensorFlow and Keras and their roles in machine learning and AI.
- Explore the key features and advantages of these frameworks.
- Building Neural Networks:
- Learn how to construct neural networks using TensorFlow and Keras.
- Understand the architecture of feedforward and convolutional neural networks.
- Model Training and Optimization:
- Dive into the process of training machine learning models.
- Explore optimization techniques, including gradient descent and its variants.
- Image Classification with Convolutional Neural Networks (CNN):
- Explore the application of CNNs for image classification tasks.
- Understand how to preprocess images and build robust CNN models.
- Natural Language Processing (NLP) with Recurrent Neural Networks (RNN):
- Extend your knowledge to NLP using RNNs with TensorFlow and Keras.
- Learn how to process and analyze sequential data, such as text.
- Transfer Learning and Fine-tuning:
- Explore transfer learning techniques for leveraging pre-trained models.
- Understand how to fine-tune models for specific tasks.
- Deployment of Machine Learning Models:
- Learn the process of deploying TensorFlow and Keras models for real-world applications.
- Understand the considerations and best practices for model deployment.
- Advanced Topics in AI and Machine Learning:
- Dive into advanced topics, including generative adversarial networks (GANs) and reinforcement learning.
- Understand how to apply these techniques for creating intelligent and dynamic systems.
- Real-world Projects and Case Studies:
- Apply your knowledge through hands-on projects and real-world case studies.
- Gain practical experience in building, training, and deploying machine learning models using TensorFlow and Keras.
The instructors provide a clear and structured learning path, covering everything from the basics to advanced topics like transfer learning and GANs. The hands-on projects were challenging.
— Melissa
The instructors do an excellent job of explaining complex concepts in a way that's easy to understand. The progression from building simple neural networks to tackling advanced topics like GANs is well-paced.
— Sarah
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