Course Outline
Introduction to Google Colab for Deep Learning
- Overview of Google Colab
- Setting up Google Colab
- Navigating the Google Colab interface
Introduction to Deep Learning
- Overview of deep learning
- Importance of deep learning
- Applications of deep learning
Understanding Neural Networks
- Introduction to neural networks
- Architecture of neural networks
- Activation functions and layers
Getting Started with TensorFlow
- Overview of TensorFlow
- Setting up TensorFlow in Google Colab
- Basic TensorFlow operations
Building Deep Learning Models with TensorFlow
- Creating neural network models
- Training neural networks
- Evaluating model performance
Advanced TensorFlow Techniques
- Implementing convolutional neural networks (CNNs)
- Implementing recurrent neural networks (RNNs)
- Transfer learning with TensorFlow
Data Preprocessing for Deep Learning
- Preparing datasets for training
- Data augmentation techniques
- Handling large datasets in Google Colab
Optimizing Deep Learning Models
- Hyperparameter tuning
- Regularization techniques
- Model optimization strategies
Collaborative Deep Learning Projects
- Sharing and collaborating on notebooks
- Real-time collaboration features
- Best practices for collaborative projects
Tips and Best Practices
- Effective deep learning techniques
- Avoiding common pitfalls
- Enhancing model performance
Summary and Next Steps
Requirements
- Basic knowledge of machine learning
- Experience with Python programming
Audience
- Data scientists
- Software developers
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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