Artificial Intelligence Training | Deep Learning With TensorFlow Training in Ulaanbaatar

Deep Learning with TensorFlow Training Course Outline

Module 1: Introduction to TensorFlow and Deep Learning

• Introduction to Deep Learning and TensorFlow
• Understanding Tensors
• Installation and Setup of TensorFlow
• Computation Phases in TensorFlow
• Variables and Operations
• Computational Graphs with TensorBoard
• Implementing Linear Regression in TensorFlow

Module 2: Artificial Neural Networks and Perceptrons

• Introduction to Artificial Neural Networks
• Characteristics of Artificial Neural Networks
• Perceptron Model
• Single-Layer Perceptron
• Multi-Layer Perceptron
• Role of Weights and Biases in Neural Networks

Module 3: Activation Functions and Gradient Computation

• Introduction to Activation Functions
• Types of Activation Functions
• Unit Step Function
• Sigmoid Function
• ReLU Function
• Piecewise Linear Function
• Gaussian Function
• Linear Function
• Gradient Computation in Neural Networks
• Understanding Backpropagation
• Steps for Computing Gradients

Module 4: Deep Learning Architectures and Techniques

• Introduction to Deep Learning Architectures
• Convolutional Neural Networks
• Filters and Feature Maps in CNN
• Pooling Layers
• Implementing CNN in TensorFlow
• Recurrent Neural Networks
• Long Short-Term Memory Networks
• Implementing RNN in TensorFlow

Module 5: Model Optimisation and Training Techniques

• Optimisers in Deep Learning
• Understanding Gradient Descent
• Adam Optimiser
• Learning Rate Scheduling
• Overfitting and Regularisation in Neural Networks
• Dropout and Batch Normalisation
• L1 and L2 Regularisation
• Hyperparameter Tuning
• Performance Metrics and Model Evaluation

Module 6: Applications and Case Studies in Deep Learning

• Applications of Deep Learning in Computer Vision
• Natural Language Processing
• Speech Recognition
• Recommendation Systems
• Real-World Case Studies
• Hands-on Project in TensorFlow
• Future Trends in Deep Learning

Who Should Attend this Deep Learning with TensorFlow Training?

The Deep Learning with TensorFlow Training is a specialised course focused on advanced Machine Learning techniques using TensorFlow, one of the most widely used open-source libraries for numerical computation and Machine Learning. The following professionals will benefit greatly from this course:

• Machine Learning Engineers
• Data Scientists
• Artificial Intelligence (AI) Researchers
• Software Developers
• Natural Language Processing Engineers
• Automotive Engineers
• Robotics Engineers

Prerequisites of the Deep Learning with TensorFlow Training

There are no formal prerequisites for attending this Deep Learning with TensorFlow Training Course. However, a basic understanding of Python Programming and Machine Learning can be beneficial for delegates. 

Deep Learning with TensorFlow Training Course Overview

Deep Learning AI TensorFlow Training explores how neural networks are built and deployed using the TensorFlow framework. Delegates learn core deep learning concepts and how models solve complex problems across data-driven applications.

This training helps delegates strengthen skills in developing advanced AI solutions using deep learning techniques. By understanding neural network architectures and model optimisation, delegates enhance their capability in data science and AI.

This 1-Day Deep Learning AI TensorFlow Course offered by The Knowledge Academy enables delegates to apply TensorFlow and deep learning principles confidently. Delegates gain practical insight into building, evaluating, and optimising models for real-world scenarios.

Deep Learning with TensorFlow Training Course Objectives

• To understand the foundational principles of neural networks
• To explore TensorFlow and its capabilities in building deep learning models
• To apply deep learning algorithms in image and speech recognition tasks
• To analyse and interpret deep learning model results effectively
• To optimise and fine-tune neural networks for improved performance
• To comprehend ethical considerations in deploying deep learning solutions

Upon completing this Deep Learning AI TensorFlow Course , delegates will have acquired the knowledge and skills necessary to implement and optimise deep learning models using TensorFlow, making them invaluable assets in their professional fields.

What’s Included in this Deep Learning with TensorFlow Training?

• World-Class Training Sessions from Experienced Instructors
• Deep Learning with TensorFlow Certificate
• Digital Delegate Pack