Curated Video
Fundamentals of Neural Networks - VGG16
This video explains VGG16 which is a convolutional neural network model proposed by K. Simonyan and A. Zisserman from the University of Oxford in the paper "Very Deep Convolutional Networks for Large-Scale Image Recognition". This clip...
Curated Video
Deep Learning - Crash Course 2023 - ReLU, SoftMax, and Cross Entropy
In this video, you will learn about ReLU, SoftMax, and Cross Entropy. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to implement deep learning...
Curated Video
Deep Learning - Crash Course 2023 - Various Activation Functions
In this video, we will have an in-depth look at different activation functions provided in the TensorFlow library using Google Colab. This clip is from the chapter "Activation Functions in Deep Learning Neural Networks" of the series...
Curated Video
Advanced Chatbots with Deep Learning and Python - Answer and Response
After learning to create our encoders for the input sequences and the questions, the encoders will match the data and obtain the responses.
Curated Video
Deep Learning - Crash Course 2023 - Summary on Activation Functions
This video provides a quick summary of activation functions. This clip is from the chapter "Activation Functions in Deep Learning Neural Networks" of the series "Deep Learning - Crash Course 2023".In this section, we will cover...
Curated Video
Deep Learning - Artificial Neural Networks with Tensorflow - Multiclass Classification
In this video, you will learn about multiclass classification. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will...
Curated Video
Deep Learning - Convolutional Neural Networks with TensorFlow - Transfer Learning Code (Part 1)
In this video, we will dive into action and look at codes for transfer learning with data augmentation. This clip is from the chapter "Transfer Learning for Computer Vision" of the series "Deep Learning - Convolutional Neural Networks...
Curated Video
Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: Answer and Response
After learning to create our encoders for the input sequences and the questions, the encoders will match the data and obtain the responses. This clip is from the chapter "Advanced Chatbots with Deep Learning and Python" of the series...
Curated Video
Evaluate the accuracy of an artificial intelligence system : Implement a DNN Based Multi-Class Classification with MXNet
From the section: ANN & DNN With MXNet Package in R. This section is about ANN & DNN with MXNet Package in R.
ANN & DNN With MXNet Package in R: Implement a DNN Based Multi-Class Classification with MXNet
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Multi-Class Classification
In this video, you will learn about multi-class classification. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - FashionMNIST Example CNN
This video demonstrates FashionMNIST example CNN. This clip is from the chapter "Introduction to TensorFlow" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the introduction to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Language Modelling Next Word Prediction RNN Architecture
In this video, we will cover language modelling next word prediction RNN architecture. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Implementation in PyTorch
This video explains about the implementation in PyTorch. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN...
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Fundamentals of Neural Networks - VGG16
This video explains VGG16 which is a convolutional neural network model proposed by K. Simonyan and A. Zisserman from the University of Oxford in the paper "Very Deep Convolutional Networks for Large-Scale Image Recognition". This clip...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Need of SoftMax
In this video, we will understand the need for SoftMax. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover the basics of...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Introduction to Course
In this video, we will get introduced to course learning objectives. This clip is from the chapter "Introduction" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".Welcome to the course. In this first...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Implementation in PyTorch
In this video, we will cover DNN implementation in PyTorch. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Language Modelling Next Word Prediction Python 3
In this video, we will cover language modelling next word prediction Python 3. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to TensorFlow: FashionMNIST Example CNN
In this video, we will cover FashionMNIST example CNN. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...