About this certification
The "Python Deep Learning Fundamentals: TensorFlow, Keras & PyTorch Essentials" certification empowers you to understand and apply the core principles of deep learning using Python’s leading libraries. Mastering these tools will help you boost productivity, enhance your adaptability, and position yourself for success in a rapidly evolving technology landscape. Enroll now to gain practical skills and unlock new career opportunities in artificial intelligence and machine learning.
This certification covers the following topics:
- Neural Networks: Universal Function Approximators
- Neural Network Architecture: Layers, Nodes, and Connections
- The Role of Activation Functions: Unlocking Non-Linearity
- Deep Learning vs. Traditional Machine Learning: When to Use Each
- Tensors: The Backbone of Deep Learning Computation
- Introducing TensorFlow and Keras: The Backend and the Frontend
- PyTorch: Flexibility and Customization
- Key Features: Tensors, nn.Module, Forward Pass, Optimization, and Autograd in PyTorch
- Practical Implementation: Building and Training a Binary Classification Model
- Data Preprocessing: Scaling and Its Impact
- Training Loops and Epochs: The Mechanics of Learning
- Reproducibility and Experimentation for Reliable Results
