neural network api

TensorFlow Tutorial 3 - Neural Networks with Sequential and Functional API

20:59

TensorFlow Tutorial 4 - Convolutional Neural Networks with Sequential and Functional API

16:08

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

2:47:55

Keras with TensorFlow Prerequisites - Getting Started With Neural Networks

7:17

Image Preparation for Convolutional Neural Networks with TensorFlow's Keras API

18:32

PyTorch Explained - Python Deep Learning Neural Network API

11:06

How Deep Neural Networks Work - Full Course for Beginners

3:50:57

How To Train an Object Detection Neural Network Using TensorFlow (GPU) on Windows 10

30:07

TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial

6:52:07

Backpropagation For Neural Networks Explained | Deep Learning Tutorial

7:56

TensorFlow Tutorial 07 - Functional API + Multi-output Project

21:48

Activation Functions In Neural Networks Explained | Deep Learning Tutorial

6:43

TensorFlow in 100 Seconds

2:39

Neural Networks Demystified [Part 1: Data and Architecture]

3:07

Convolutional Neural Networks - Deep Learning basics with Python, TensorFlow and Keras p.3

18:39

Neural Networks Demystified [Part 2: Forward Propagation]

4:28

10.12: Neural Networks: Feedforward Algorithm Part 1 - The Nature of Code

27:41

Lecture 5 | Convolutional Neural Networks

1:08:56

PyTorch in 100 Seconds

2:43

Open Source AI Inference API w/ Together

25:25

10.4: Neural Networks: Multilayer Perceptron Part 1 - The Nature of Code

15:56

PyTorch RNN Tutorial - Name Classification Using A Recurrent Neural Net

38:57

Deep Learning Basics: Introduction and Overview

1:08:06

Inference API: The easiest way to integrate NLP models for inference!

10:38

Recurrent Neural Networks (RNN) - Deep Learning w/ Python, TensorFlow & Keras p.7

21:20

Artificial Neural Network Tutorial | Deep Learning With Neural Networks | Edureka

36:40

CNN: Convolutional Neural Networks Explained - Computerphile

14:17

TensorFlow Tutorial 05 - Convolutional Neural Network (CNN)

11:53

Custom TensorFlow Model for Image Classification App | #1

20:40

Fine-tuning a Neural Network explained

4:49

How to Build a Neural Network with TensorFlow and Keras in 10 Minutes

13:46

How convolutional neural networks work, in depth

1:01:28

Using a Keras Deep Neural Network with a Web Application (13.3)

12:54

Text Detection using Neural Networks | OPENCV Python

1:26:24

Image Classification using CNN Keras | Full implementation

17:56

TensorFlow Tutorial 03 - First Neural Network (Training, Evaluation & Prediction)

26:33

What is a REST API?

9:12

How Deep Neural Networks Work

24:38

Create a Simple Neural Network in Python from Scratch

14:15

Beginner Intro to Neural Networks 2: Functions and Predictions

18:45

TensorFlow Tutorial 10 - Recurrent Neural Nets (RNN & LSTM & GRU)

10:30

Lecture 10 - Neural Networks

1:25:16

How Computer Vision Works

7:08

Intelligent AI Chatbot in Python

35:42

Recurrent Neural Network (RNN) Tutorial | RNN LSTM Tutorial | Deep Learning Tutorial | Simplilearn

59:21

Build and Train a Convolutional Neural Network with TensorFlow's Keras API

9:55

PyTorch Mobile and Android Neural Networks API | PyTorch Developer Day 2020

5:41

Keras neural network API, AWS SageMaker & Tensorflow

5:55

Lucy | real time deep learning visualization | neural network parameters visualization in real time

2:40

Android 8.1 Preview With Neural Network API

2:18

What is backpropagation really doing? | Chapter 3, Deep learning

12:47

Accelerate ML inference on mobile devices with Android NNAPI

7:53

Deploy Neural Nets to Maya using the C++ API (ONNX workflow)

7:13

Creating a Neural Network from scratch in under 10 minutes

10:41

adalin network with algorithm in hindi in neural network

5:39

Madaline neural network with XOR example.

9:08

Madaline network with solved example in neural network

9:55

Phase-Functioned Neural Networks for Character Control

4:51

Deep Dive into Keras: Lecture 1, Sequential Model, Dense Layer, and Model Compile

14:23

"Optimization theories of neural networks with its statistical perspective"Prof. Taiji Suzuki

1:07:00