Module 1: Overview of TensorFlow
In this module, I have explained various basic topics related to TensorFlow, like introduction, installation, and operations of TensorFlow etc.
Lesson 1: Introduction to TensorFlow
In this TensorFlow tutorial, I discussed:
- Introduction to TensorFlow
- History of TensorFlow
- Why is TensorFlow so popular
- How TensorFlow works
- Features of TensorFlow
- Advantages of TensorFlow
- Disadvantages of TensorFlow
Lesson 2: Installation of TensorFlow
In this tutorial, I explain the installation of TensorFlow using pip and Conda.
Related tutorial:
Lesson 3: How to Start with TensorFlow
In this TensorFlow tutorial, I discussed:
- TensorFlow components
- How to create a tensor in TensorFlow
Lesson 4: Various Operations of TensorFlow
In this TensorFlow tutorial, I discussed:
- What are mathematical operations in TensorFlow
- Various operations of TensorFlow
Lesson 5: Tensor Slicing and Indexing in TensorFlow
In this TensorFlow tutorial, I discussed:
- What is slicing in TensorFlow
- Indexing of TensorFlow
Lesson 6: TensorFlow vs NumPy
In this TensorFlow tutorial, I discussed:
- Difference between TensorFlow vs NumPy
- How to convert TensorFlow into a NumPy array
- How to convert the NumPy array into a tensor
Lesson 7: Build Linear Regression in TensorFlow
In this TensorFlow tutorial, I discussed:
- What is linear regression
- Implementation of a linear regression model with TensorFlow
Module 2: Convolutional and Recurrent Neural Networks
In this module, I have explained about Convolutional and Recurrent Neural Networks. This module has 4 videos.
Lesson 1: Implement a Convolutional Neural Network (CNN)
In this TensorFlow tutorial, I discussed:
- What is a convolutional neural network
- Components of a convolutional neural network
- Implementation of CNN
Related tutorial:
Lesson 2: Recurrent Neural Network (RNN) Implementation Using TensorFlow
In this TensorFlow tutorial, I discussed:
- What is RNN
- How will a recurrent neural network work in TensorFlow
- application of a recurrent neural network
- Limitations of recurrent neural networks
- Types of recurrent neural networks
- Why a recurrent neural network
- Implementation of RNN
Lesson 3: CNN vs RNN in Deep Learning
In this TensorFlow tutorial, I discussed:
- Difference between CNN and RNN
- Implementation of CNN and RNN
Lesson 4: Predict Time Series Data Using RNN in Python
In this TensorFlow tutorial, I explain a predictive model for time series data using an RNN.
Module 3: Perception in TensorFlow
In this module, I have explained about the optimizer in TensorFlow, artificial neuro network, etc. This module has 6 videos.
Lesson 1: Artificial Neural Networks in TensorFlow
In this TensorFlow tutorial, I discussed:
- Overview of artificial neural networks
- Architecture of an artificial neural network
- Working of an artificial neural network
Related tutorial:
Lesson 2: Single Layer Perceptron with TensorFlow
In this TensorFlow tutorial, I discussed:
- What is single-layer perception
- Working with single-layer perception
- Mathematical calculation of single-layer perception
- Implementation of single-layer perception
Lesson 3: Multi-Layer Perceptron in TensorFlow
In this TensorFlow tutorial, I discussed:
- What is multi-layer perception
- Working of multi-layer perception
- Implementation of multi-layer perception
Lesson 4: TensorFlow Optimizers Tutorial
In this TensorFlow tutorial, I discussed:
- What are optimizers in TensorFlow
- gradient descent optimizer algorithm
- Different types of optimizers in TensorFlow
Related tutorial:
Lesson 5: Optimize Your Neural Network Training
In this TensorFlow tutorial, I discussed:
- back propagation
- Types of back propagation
- learning rate decay
- max pooling
- long short-term memory(LSTM)
Lesson 6: Build an XOR Neural Network Using TensorFlow
In this TensorFlow tutorial, I discussed:
- How to build a neural network on TensorFlow for XOR
- Implementation of the XOR neural network
Module 4: TensorBoard Visualization
In this module, I have explained about Tensorboard visualisation, TensorFlow graph visualisation, etc. This module has 5 videos.
Lesson 1: Deep Learning Visualization with TensorBoard
In this TensorFlow tutorial, I discussed:
- What is TensorBoard
- Overview of TensorFlow
- How to create and train the model using TensorFlow
Lesson 2: Visualize Your TensorFlow Model Graph Using TensorBoard
In this TensorFlow tutorial, I discussed:
- What is a TensorFlow graph
- Basic examples of graphs
Lesson 3: Visualize Models, Data & Training in TensorFlow with TensorBoard
In this TensorFlow tutorial, I discussed:
- How to install and set up the TensorFlow board
- How to visualize models, data, and training with TensorBoard
Lesson 4: Hyperparameter Tuning Using HParams in TensorBoard
In this TensorFlow tutorial, I discussed:
- What is a hyperparameter
- tensorboard HParams dashboard
Lesson 5: Visualize Graphs and Loss in TensorBoard
In this TensorFlow tutorial, I explained how to visualize graphs and loss using TensorBoard.
