TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical …
Instructor-Led Live Online Training
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow also includes TensorBoard, a data visualization toolkit.
TensorFlow Training Curriculum
Introduction to Deep Learning
Deep Learning: A revolution in Artificial Intelligence, Limitations of Machine Learning, Discuss the idea behind Deep Learning, Advantage of Deep Learning over Machine learning, 3 Reasons to go Deep, Real-Life use cases of Deep Learning, Scenarios where Deep Learning is applicable
The Math behind Machine Learning: Linear Algebra
Scalars, Vectors, Matrices, Tensors, Hyperplanes
The Math Behind Machine Learning: Statistics
Probability, Conditional Probabilities, Posterior Probability, Distributions, Samples vs Population, Resampling Methods, Selection Bias, Likelihood
Review of Machine Learning Algorithms
Regression, Classification, Clustering
Reinforcement Learning, Underfitting and Overfitting, Optimization, Convex Optimization
Fundamentals Of Neural Networks
Defining Neural Networks, The Biological Neuron, The Perceptron, Multi-Layer Feed-Forward Networks, Training Neural Networks, Backpropagation Learning, Gradient Descent, Stochastic Gradient Descent, Quasi-Newton Optimization Methods, Generative vs Discriminative Models
Linear, Sigmoid, Tanh, Hard Tanh, Softmax, Rectified Linear
Loss Functions, Loss Function Notation, Loss Functions for Regression, Loss Functions for Classification, Loss Functions for Reconstruction, Hyperparameters, Learning Rate, Regularization, Momentum, Sparsity
Fundamentals Of Deep Networks
Defining Deep Learning, Defining Deep Networks, Common Architectural Principals of Deep Networks, Reinforcement Learning application in Deep Networks, Parameters, Layers, Activation Functions – Sigmoid, Tanh, ReLU, Loss Functions, Optimization Algorithms, Hyperparameters, Summary
Introduction To TensorFlow
What is TensorFlow?, Use of TensorFlow in Deep Learning, Working of TensorFlow, How to install Tensorflow, HelloWorld with TensorFlow, Running a Machine learning algorithms on TensorFlow
Convolutional Neural Networks (CNN)
Introduction to CNNs, CNNs Application, Architecture of a CNN, Convolution and Pooling layers in a CNN, Understanding and Visualizing a CNN, Transfer Learning and Fine-tuning Convolutional Neural Networks
Recurrent Neural Networks (RNN)
Introduction to RNN Model, Application use cases of RNN, Modelling sequences, Training RNNs with Backpropagation, Long Short-Term memory (LSTM), Recursive Neural Tensor Network Theory, Recurrent Neural Network Model
Restricted Boltzmann Machine(RBM) And Autoencoders
Restricted Boltzmann Machine, Applications of RBM, Collaborative Filtering with RBM, Introduction to Autoencoders, Autoencoders applications, Understanding Autoencoders, Variational Autoencoders, Deep Belief Network
What Are The Modes Of Training, and Who Are The Trainers?
Tekslate basically offers the online instructor-led training. Apart from that we also provide corporate training for enterprises. Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Tekslate also verifies their technical background and expertise.
What If I Miss A Class?
We record each LIVE class session you undergo through and we will share the recordings of each session/class.
Can I Request For A Support Session If I Find Difficulty In Grasping Topics?
If you have any queries you can contact our 24/7 dedicated support to raise a ticket. We provide you email support and solution to your queries. If the query is not resolved by email we can arrange for a one-on-one session with our trainers.
What Kind Of Projects Will I Be Working On As Part Of The Training?
You will work on real world projects wherein you can apply your knowledge and skills that you acquired through our training. We have multiple projects that thoroughly test your skills and knowledge of various aspect and components making you perfectly industry-ready.
How Will I Execute The Practical?
Our Trainers will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.
If I Cancel My Enrollment, Will I Get The Refund?
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.
Are These Classes Conducted Via Live Online Streaming?
Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.
Is There Any Offer / Discount I Can Avail?
There are some Group discounts available if the participants are more than 2.
Who Are Our Customers & Our Location?
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