Deep Learning Course (with Keras & TensorFlow) Certification
5.0 /5- Offered bySimplilearn
- Private Institute
- Estd. 2010
Deep Learning Course (with Keras & TensorFlow) Certification at Simplilearn Overview
Mode of learning | Online |
Credential | Certificate |
Deep Learning Course (with Keras & TensorFlow) Certification at Simplilearn Highlights
- 8X higher live interaction in live online classes by industry experts
- Real-life industry-based projects
- Flexibility to choose classes
- Dedicated mentoring session from our Industry expert faculties
- 90 days of flexible access to online classes
- Lifetime access to high-quality self-paced e-learning content and live class recordings
- 24x7 learner assistance and support
Deep Learning Course (with Keras & TensorFlow) Certification at Simplilearn Course details
- Software Engineers
- Data Scientists
- Data Analysts
- Statisticians with an interest in deep learning
- Keras and TensorFlow Framework
- PyTorch and its elements
- Image Classification
- Artificial Neural Networks
- Autoencoders
- Deep Neural Networks
- Conventional Neural Networks
- Recurrent Neural Networks
- ADAM Adagrad and Momentum
- This Deep Learning course with TensorFlow certification training is developed by industry leaders and aligned with the latest best practices.
- Learn to implement deep learning algorithms with our TensorFlow training and prepare for a career as a Deep Learning Engineer
- Upon completion, student will be able to build deep learning models, interpret results, and build their own deep learning project.
Deep Learning Course (with Keras & TensorFlow) Certification at Simplilearn Curriculum
Section 1 - Deep Learning with Tensor Flow (Self Learning)
Lesson 1 - Welcome!
Lesson 2 - Introduction to Tensorflow
Lesson 3 - Convolutional Networks
Lesson 4 - Recurrent Neural Network
Lesson 5 - Restricted Boltzmann Machines (RBM)
Lesson 6 - Autoencoders
Lesson 7 - Course Summary
Section 2 - Deep Learning with Keras and Tensor Flow (Live Classes)
Lesson 1 - Course introduction
Lesson 2 - AI and Deep learning introduction
Lesson 3 - Artificial Neural Network
Lesson 4 - Deep Neural Network & Tools
Lesson 5 - Deep Neural Net optimization, tuning, interpretability
Lesson 6 - Convolutional Neural Network
Lesson 7 - Recurrent Neural Networks
Lesson 8 - Autoencoders
Section 3 - Practice Projects
Practice Projects
Math Refresher
Lesson 01: Course Introduction
Lesson 02: Probability and Statistics
Lesson 03: Coordinate Geometry
Lesson 04: Linear Algebra
Lesson 05: Eigenvalues Eigenvectors and Eigendecomposition
Lesson 06: Introduction to Calculus
Deep Learning Course (with Keras & TensorFlow) Certification at Simplilearn Entry Requirements
- Learners need to possess an undergraduate degree or a high school diploma.
- Familiarity with programming fundamentals, a fair understanding of the basics of statistics and mathematics, and a good understanding of machine learning concepts.
Other courses offered by Simplilearn
Deep Learning Course (with Keras & TensorFlow) Certification at Simplilearn Students Ratings & Reviews
2 Ratings- 4-52
Student Forum
Anything you would want to ask experts?
Data ScienceDeep LearningDeep Learning and Neural NetworksDeep Learning Course (with Keras & TensorFlow) Certification