Deep Learning With TensorFlow Training
Deep Learning With TensorFlow Training Online by Checkmate IT Tech offers a transformative journey, elevating your expertise and mastering essential skills. Position yourself for success in the dynamic field of Artificial Intelligence by enrolling today. Unlock new career opportunities!
- 10+ Courses
- 30+ Projects
- 400 Hours
Data Scientists: Experts wishing to deepen their understanding of deep learning and use sophisticated TensorFlow machine learning models.
Machine Learning Engineers: People in AI and machine learning positions who wish to become TensorFlow experts specialising in deep learning.
Software developers: Developers who want to incorporate deep learning technologies into their projects and create AI-powered apps.
Researchers and Academicians: Researchers and academics working in artificial intelligence, computer vision, and natural language processing require practical TensorFlow experience for their projects.
Students and Novices in AI: People who have a basic understanding of machine learning and want to acquire deep learning techniques to further their careers in AI.
Deep Learning Engineer: Create and refine deep learning models for a range of uses, including recommendation engines, picture recognition, and natural language processing.
AI/ML Engineer: Create and deploy TensorFlow-based AI solutions for sectors like retail, healthcare, and finance.
Data Scientist: Examine huge datasets and derive useful insights by applying deep learning techniques.
Computer Vision Engineer: Use TensorFlow to create and implement computer vision applications like facial recognition and object identification.
Engineer in Natural Language Processing (NLP): Develop NLP models for applications such as language translation, chatbots, and sentiment analysis.
Research Scientist in AI: Carry out innovative studies in AI and deep learning, assisting in the creation of novel algorithms and technologies.
In the USA and Canada, these positions are highly sought after in sectors including technology, healthcare, banking, and the automobile industry, and they pay competitively.
- Getting Started with AI, ML, and Deep Learning
- An overview of the TensorFlow ecosystem
- Setting up TensorFlow and the environment
- Tensors and Operations
- Getting Started with the Keras API
- Perceptron and Multilayer Perceptron (MLP)
- Functions that turn on (ReLU, Sigmoid, Softmax)
- Functions of Loss
- Optimisers (SGD, Adam)
- Creating the First ANN Model in TensorFlow
- Putting together and training the model
- Metrics for Evaluation
- Ways to Check Validity
- Regularization and Overfitting
- Dropout and Batch Normalization
- Ideas and Structure of CNN
- Convolution and Pooling Layers
- Project for Classifying Images
- Using Pretrained Models for Transfer Learning
- Adding More Data
- The Basics of Sequence Modelling
- RNN and LSTM Networks
- Networks with GRU
- Project for Classifying Text
- Forecasting Time Series
- API for Functional Use and Custom Models
- Loss Functions That Are Unique
- Using Tensor Board to Keep an Eye on
- Model Checkpoints
- Improving Performance
- How to Save and Load Models
- Making APIs with Flask or FastAPI
- Getting Started with Docker
- The Basics of Model Deployment
- Ethics and Responsible AI
- Project presentation
- Questions for a Mock Interview
- Making a Resume and Portfolio
Developers, data scientists, AI enthusiasts and ML engineers are the ideal candidates for this course.
Yes, you need to know the basics of Python.
The duration is 2 months (8 weeks), with sessions held 2 times per week (either during week or weekends), including theory, hands-on practice and project work.
Yes, upon successful completion, you’ll receive a Certificate of Completion from Checkmate IT Tech.
Yes, it includes CNN, RNN, LSTM, and basic sequence models.
We offer online training classes to promote easy access to all candidates. Recordings are also made available for revision or if you miss a session.
Yes. We provide resume reviews, mock interviews, LinkedIn optimization, and guidance on job portals to help boost your chances in the job market.
Yes, students usually build projects like image classifiers, chatbots, recommendation systems and sentiment analysis applications.
Tools for visualization: TensorFlow, Keras, Python and NumPy.
You can enroll via our website or contact our support team directly via email or phone. We’ll guide you through the quick and easy registration process.
Email info@checkmateittech.com OR Call Us +1-347-4082054
- Submit Form
Job opportunities in USA and Canada
Deep Learning Engineer: Create and refine deep learning models for a range of uses, including recommendation engines, picture recognition, and natural language processing.
AI/ML Engineer: Create and deploy TensorFlow-based AI solutions for sectors like retail, healthcare, and finance.
Data Scientist: Examine huge datasets and derive useful insights by applying deep learning techniques.
Computer Vision Engineer: Use TensorFlow to create and implement computer vision applications like facial recognition and object identification.
Engineer in Natural Language Processing (NLP): Develop NLP models for applications such as language translation, chatbots, and sentiment analysis.
Research Scientist in AI: Carry out innovative studies in AI and deep learning, assisting in the creation of novel algorithms and technologies.
In the USA and Canada, these positions are highly sought after in sectors including technology, healthcare, banking, and the automobile industry, and they pay competitively.
