Login     Signup
   info@zetlantechnologies.com        +91-8680961847

Home   >   TensorFlow


TensorFlow is a free and open-source software library for machine learning and artificial intelligence, developed by Google. It provides a comprehensive collection of tools and resources for building and training machine learning models, especially deep learning models, and deploying them across various platforms, including cloud, devices, and browsers


Key characteristics :


Course Details

1. Introduction to TensorFlow

  • Overview of TensorFlow and Deep Learning
  • Installation and Setup
  • TensorFlow vs. Other Deep Learning Frameworks
  • TensorFlow 2.x vs. TensorFlow 1.x
  • Understanding Tensors and Computational Graphs

  • Tensors: Rank, Shape, and Type
  • Variables, Constants, and Placeholders
  • Tensor Operations and Manipulations
  • TensorFlow Data Types
  • Eager Execution vs. Graph Execution

  • Introduction to Keras API
  • Sequential vs. Functional API
  • Building a Simple Neural Network
  • Activation Functions (ReLU, Sigmoid, Softmax)
  • Loss Functions and Optimizers
  • Model Compilation, Training, and Evaluation

  • Loading and Preprocessing Data with tf.data API
  • Working with CSV, Images, and TFRecords
  • Data Augmentation Techniques
  • Normalization and Feature Scaling
  • Handling Imbalanced Datasets

  • Understanding Convolutions and Pooling
  • Building a CNN using TensorFlow & Keras
  • Transfer Learning with Pretrained Models (VGG16, ResNet, MobileNet)
  • Image Classification with CNNs
  • Data Augmentation for Image Processing

  • Introduction to Recurrent Networks
  • Understanding LSTMs and GRUs
  • Text Processing with Tokenization and Embeddings
  • Sentiment Analysis using RNNs
  • Transformer Models and Attention Mechanism

  • Object Detection using TensorFlow
  • Image Segmentation using U-Net
  • Face Recognition with TensorFlow
  • Generative Adversarial Networks (GANs) for Image Synthesis

  • Word Embeddings (Word2Vec, GloVe, FastText)
  • Text Classification with LSTMs and CNNs
  • Machine Translation using Sequence-to-Sequence Models
  • Transformers and BERT with TensorFlow

  • Custom Training Loops with tf.GradientTape
  • Callbacks and Model Checkpointing
  • Hyperparameter Tuning with Keras Tuner
  • Distributed Training with tf.distribute

  • Introduction to Time Series Data
  • Forecasting with LSTMs and GRUs
  • Autoencoders for Anomaly Detection
  • Attention Mechanism for Time Series Predictions

  • Exporting Models for Deployment
  • TensorFlow Serving for REST API
  • Deploying Models with TensorFlow Lite (for Mobile & Edge devices)
  • TensorFlow.js for Web-Based Machine Learning
  • Running TensorFlow on Cloud (Google Cloud, AWS, Azure)

  • Basics of Reinforcement Learning
  • Deep Q-Learning and Policy Gradients
  • Training Agents with TensorFlow Agents
  • Reinforcement Learning Applications (Game AI, Robotics)

  • Data Validation and Preprocessing with TFX
  • Model Analysis and Monitoring
  • ML Pipelines with TensorFlow Extended
  • Deploying End-to-End ML Pipelines


Fees Structure : 15500 INR / 180 USD
Total No of Class : 52 Video Class
Class Duration : 47:00 Working Hours
Download Feature : Download Avalable
Technical Support : Call / Whatsapp : +91 8680961847
Working Hours : Monday to Firday 9 AM to 6 PM
Payment Mode : Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay)

Brochure       Buy Now       Sample Demo

Fees Structure : 22000 INR / 255 USD
Class Duration : 40 Days
Class Recording : Live Class Recording available
Class Time : Monday to Firday 1.5 hours per day / Weekend 3 Hours per day
Technical Support : Call / Whatsapp : +91 8680961847
Working Hours : Monday to Firday 9 AM to 6 PM
Payment Mode : Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay)

Download Brochure       Pay Online