Deep Learning Online Live Class by Experts
Our Training/Internship Process
Deep Learning - Syllabus, Fees & Duration
MODULE 1
- Introduction to Tensor Flow
- Computational Graph
- Key highlights
- Creating a Graph
- Regression example
- Gradient Descent
- TensorBoard
- Modularity
- Sharing Variables
- Keras Perceptrons
- What is a Perceptron?
- XOR Gate
MODULE 2
- Activation Functions
- Sigmoid
- ReLU
- Hyperbolic Fns, Softmax Artificial Neural Networks
- Introduction
- Perceptron Training Rule
- Gradient Descent Rule
MODULE 3
- Gradient Descent and Backpropagation
- Gradient Descent
- Stochastic Gradient Descent
- Backpropagation
- Some problems in ANN Optimization and Regularization
- Overfitting and Capacity
- Cross-Validation
- Feature Selection
- Regularization
- Hyperparameters
MODULE 4
- Introduction to Convolutional Neural Networks
- Introduction to CNNs
- Kernel filter
- Principles behind CNNs
- Multiple Filters
- CNN applications Introduction to Recurrent Neural Networks
- Introduction to RNNs
- Unfolded RNNs
- Seq2Seq RNNs
- LSTM
- RNN applications
MODULE 5
- Deep learning applications
- Image Processing
- Natural Language Processing
- Speech Recognition
- Video Analytics
This syllabus is not final and can be customized as per needs/updates
- Since 2001, Making IT Experts by Experts
- Duration: 40 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Batch Classes @ Low Fees
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsNEAR.in
- Training/Internship Certificate
- Alappuzha
- Aluva
- Angamaly
- Chalakudy
- Changanassery
- Chengannur
- Cherthala
- Cochin
- Cyberpark
- Edappally
- Guruvayur
- Idukki
- Infopark
- Irinjalakuda
- Kakkanad
- Kaloor
- Kanjirapally
- Kannur
- Kasaragod
- Kayamkulam
- Kazhakkoottam
- Kerala
- Kodungallur
- Kollam
- Kothamangalam
- Kottayam
- Kowdiar
- Kozhikode
- Kunnamkulam
- Malappuram
- Manjeri
- Maradu
- Mavelikara
- Muvattupuzha
- North Paravur
- Ottapalam
- Pala
- Palakkad
- Palarivattom
- Palarivattom
- Pathanamthitta
- Perinthalmanna
- Perumbavoor
- Ponnani
- Shoranur
- Technopark
- Thampanoor
- Thrikkakara
- Thrissur
- Tirur
- Tripunithura
- Trivandrum
- Vaikom
- Vyttila
- Wayanad
Course Highlights
Our Locations
Participants in the deep learning course should have a thorough understanding of the principles of programming, as well as a solid understanding of the fundamentals of statistics and mathematics, as well as a clear grip on the critical knowledge portions of machine learning. Deep learning has become increasingly significant for commercial decision-making since it is very adept at processing such forms of data.
Deep learning is a subset of machine learning (ML), which is essentially a three-layer neural network. Students receive practical experience by working on real-world projects. This deep learning course in Palakkad is mainly recommended for software engineers, data scientists, data analysts, and statisticians who are interested in deep learning. Deep learning algorithms are employed in a variety of industries, from automated driving to medical gadgets.
Rather than being numerical, the majority of the data is in an unstructured format, such as audio, image, text, and video. Python is the language of deep learning. Deep learning teaches using botorganizeded anorganizedtured data.
The foundations of deep learning and neural networks are covered, as well as techniques for improving neural networks, strategies for organizing and completing machine learning projects, convolutional neural networks, and their applications, recurrent neural networks and their methods and applications, and advanced topics such as deep reinforcement learning, generative adversarial networks, and adversarial attacks. 
