About Deep Learning Online Training
Deep learning training gives you an in-depth understanding of the architecture of TensorFlow Core, API layers, and therefore the use cases. Master unsupervised learning models, deep learning models and more. Right from installing and configuring TensorFlow, importing data, simple models to develop complex layered models and architectures to crunch huge data sets leveraging the distributed, robust and scalable machine learning framework from Google.
Learn to implement Keras on top of TensorFlow to experiment with deep neural networks and tune machine learning models to supply more successful results with our deep learning with TensorFlow course.
Work on differing types of Deep Architectures: Convolutional Networks, Recurrent Networks, and Autoencoders, and further get conversant in the advanced concepts of tongue Processing. Also, gain practical exposure on text to speech processing.
Our cloud labs comprise guided exercises practice building handwritten digit recognition, deep learning, convolution and time-series models of Neural Networks. Gain hands-on experience by working with real-time uses cases and data sets using various neural specification , suitable to different industry domains and supply solutions.
Lead TensorFlow based AI projects together with your teams trained in our TensorFlow course.
Prerequisites For Learning Deep Learning Online Training
- Basic Programming knowledge in Python
- Fundamental level understanding of Machine Learning
- Note: The above knowledge is must-have for the participants to fully appreciate the training content.
Suggested:
- Knowledge of Deep Neural Network models
- MNIST database
Terms And Conditions
- We will Provide Supporting to resolve Student practical Issues.
- We will provide server Access and 100% Lab Facility.
- Resume Preparation.
- Interview Questions & Answers.
- We will conduct mock interviews. Student also gets 100% supporting before and after getting job.
Curriculum
- 1 Section
- 8 Lessons
- 10 Weeks

