Advanced Neural Networks with Tensorflow
Where to Watch Advanced Neural Networks with Tensorflow
25
Starting and Training a Session
2018-02-14
In this video, we will start a session to set variables of two networks to the same value.
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24
Defining Our Network
2018-02-14
In this video, we will define our Neural Network.
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23
Playing Atari Games
2018-02-14
In this video, we will use Deep Learning to play Atari games.
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20
Reinforcement Learning Explained
2018-02-14
We will take a look at reinforcement learning, which is a technique where an autonomous agent learns by getting rewards whenever he does something good! We will discuss what q-learning is, and how deep q-networks work.
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19
Random Search
2018-02-14
You could try to solve this environment with one simple matrix multiplication with the input. This essentially gives you a single Neural Network, but no way to optimize this with gradient descent.
Watch Advanced Neural Networks with Tensorflow Season 1 Episode 19 Now
18
Getting Started with the OpenAI Gym
2018-02-14
We will install the OpenAI gym environment and explore the problem of balancing a stick on a cart.
Watch Advanced Neural Networks with Tensorflow Season 1 Episode 18 Now
17
Speed of Your Network
2018-02-14
We previously built a lot of large neural networks, and will continue to do so in the next section. In this video, we will analyze what factors influence the speed with which we train our Neural Network.
Watch Advanced Neural Networks with Tensorflow Season 1 Episode 17 Now
16
Alternative Loss Functions
2018-02-14
In this video, we will explore two different loss functions: a cross-entropy error on the last layer, and a contrastive loss function that works like a "spring".
Watch Advanced Neural Networks with Tensorflow Season 1 Episode 16 Now
15
Training and Testing a Siamese Neural Network
2018-02-14
We defined our network in the previous video. Now it's time to train and test it. We use the data load functions from the first video to train and evaluate our performance.
Watch Advanced Neural Networks with Tensorflow Season 1 Episode 15 Now
14
What Is a Siamese Neural Network?
2018-02-14
Siamese Neural Networks map input to an output vector. The idea is that this output is similar for similar characters.
Watch Advanced Neural Networks with Tensorflow Season 1 Episode 14 Now
13
The Omniglot Dataset
2018-02-14
We will look at the Omniglot dataset. This dataset contains many classes and 20 samples per class.
Watch Advanced Neural Networks with Tensorflow Season 1 Episode 13 Now
12
Variational Autoencoders
2018-02-14
By setting the variables in the latent layer to random values, we could generate "new" images of characters. As we don't know in what range we could pick these values, we add an extra loss to our autoencoder that specifies the range we want.
Watch Advanced Neural Networks with Tensorflow Season 1 Episode 12 Now
11
The Dropout Layer
2018-02-14
It's often difficult to work with noisy input data. Neural Networks tend to "overfit" on certain patterns, which are disturbed by this noise.
Watch Advanced Neural Networks with Tensorflow Season 1 Episode 11 Now
10
Practical Application -Denoising
2018-02-14
In this video, we will take a look at the result of our decoder. We will also look at one practical application: denoising your input.
Watch Advanced Neural Networks with Tensorflow Season 1 Episode 10 Now
9
Encoding MNIST Characters
2018-02-14
We will build our first autoencoder that is able to represent MNIST characters in only 10 values. We will evaluate if our neural network can learn something.
Watch Advanced Neural Networks with Tensorflow Season 1 Episode 9 Now
8
Inspecting Input and Output
2018-02-14
Sometimes the problem with your Neural Network is not in the network, but in the data you put into it (or get out of it). Luckily, we can inspect both with TensorBoard.
Watch Advanced Neural Networks with Tensorflow Season 1 Episode 8 Now
7
Plotting the Weights in a Histogram
2018-02-14
Sometimes you want to take a look at the value of your weights. We will compare two runs, one run with a wrong learning rate.
Watch Advanced Neural Networks with Tensorflow Season 1 Episode 7 Now
6
Adding Summaries
2018-02-14
Now that we are able to get our graph in TensorBoard, it's time to add something more interesting, that is, the loss. With TensorBoard we can plot multiple lines in the same graph.
Watch Advanced Neural Networks with Tensorflow Season 1 Episode 6 Now
5
Visualizing Your Graph
2018-02-14
We will take a look at what TensorBoard is, and how to start it. Luckily TensorBoard is already included in the Dockerfile you are running.
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4
Understanding Jupyter Notebooks and TensorFlow
2018-02-14
In this video, viewers are shown how they can design a Neural Network that can recognize written digits with TensorFlow.
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3
Installing Docker and Downloading the Source Code for This Course
2018-02-14
During this course, we will download one program with all dependencies using Docker. This video will show you what to download to set up your machine learning workspace.
Watch Advanced Neural Networks with Tensorflow Season 1 Episode 3 Now
2
The Approach of This Course
2018-02-14
There are a lot of different problems in machine learning you can approach with neural networks. In this section, we are going to learn about autoencoders, siamese Neural Networks, and reinforcement learning.
Watch Advanced Neural Networks with Tensorflow Season 1 Episode 2 Now
1
The Course Overview
2018-02-14
This video provides an overview of the entire course.
Watch Advanced Neural Networks with Tensorflow Season 1 Episode 1 Now
Advanced Neural Networks with Tensorflow is a series categorized as a . Spanning 1 seasons with a total of 23 episodes, the show debuted on 2018. The series has earned a no reviews from both critics and viewers. The IMDb score stands at undefined.
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