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Questions tagged [adam]

Active Directory Application Mode (ADAM) is an LDAP-compliant directory service.

ADAM has a simple install and runs as a service on Windows operating systems. It can be fully customized and distributed as an application component or used as a stand-alone LDAP directory. ADAM uses the same technologies found on Active Directory Domain Controllers (including replication and delegation features) and has its own administration and customization features. It can be run as a Windows server.

ADAM can be installed, as a free distribuable, on Windows XP, 2000, 2003, and 2008 operating systems. An improved version of ADAM is included as part of Windows Server 2003 R2 and Windows Server 2008 under the name Lightweight Directory Service (LDS).

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AttributeError: module 'keras.optimizers' has no attribute 'Adam' , I am getting this error

I am getting this error AttributeError: module 'keras.optimizers' has no attribute 'Adam' for the below. classifier.compile(optimizer= keras.optimizers.Adam(learning_rate=0.001, beta_1=0.9, beta_2=0.999, amsgrad=False),…
300_MEGHA SINGH
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How do we have access to the effective learning rate of Adam [Tensorflow]?

I am interested in the effective learning rate of Adam. We know that Adam is roughly formed by a initial/constant learning rate divided by tthe sum of the past gradients of the loss (see here for details). The matter of the question is that it has…
Siderius
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The Loss number of both train set and validation set both went down at the begining and then went up again

I try to use the siamese network which combines with two resnet networks (Pretrained) to solve the few shot problem. The loss function is contrassive loss and the optimizer is Adam with 0.001 learning rate. Both train set loss and validation loss…
user17182657
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'Adam' object has no attribute 'Adam'

This is how I imported the modules from keras.layers import Conv2D, BatchNormalization, Activation from keras.models import Model, Input from keras import optimizer_v2 from keras.optimizer_v2 import adam import keras.backend as K But I'm getting…
HrugVed
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hello, I need a help to connect my spyder source code with excel sheet. first problem

enter image description here The future prediction part of the graph is strange. It's not predictable at all. The second question is, I want to import the data of the predicted part into an Excel file.
선로빈
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Adam Optimizer not Updating Values

I am trying to use Adam optimizer to obtain certain values outside of a neural network. My technique wasn't working so I created a simple example to see if it works: a = np.array([[0.0,1.0,2.0,3.0,4.0], [0.0,1.0,2.0,3.0,4.0]]) b =…
UlucSahin
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Custom Optimizer error--> TypeError: Expected tf.group() expected Tensor arguments not 'None' with type ''

I've implemented an accumulated gradient optimizer but when I want to train model it gives me this error.So what is the problem? The idea behind gradient accumulation is that it calculates the loss and gradients after each mini-batch, but instead of…
fatemeh .b
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Deploying ADAM

I need to have a way to deploy ADAM store to other environments in a couple of different ways. Full backup and restore: take all contents from one environment and restore all in another environment Partial backup and restore: take all contents for…
JHA
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AD LDS (ADAM) ChangePassword over SSL

I have been searching the internet for days trying to solve this problem. I am working on a project where I have a requirement of allowing the user to change their password using an ASP.NET web application. I must use "ChangePassword" and not…
Matt Goodrich
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Node 'training/Adam/gradients/gradients/conv5_block3_3_bn/cond_grad/StatelessIf'

img_height,img_width = 32, 32 base_model = ResNet50(weights = 'imagenet', include_top = False, input_shape =(img_height,img_width,3)) x = base_model.output x = GlobalAveragePooling2D()(x) x = Dropout(0.7)(x) predictions = Dense(num_classes,…
Kartikeya Kawadkar
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Adam optimization for gradient descent update doesn't seem to work with logistic regression

Helo, I'm learning machine learning from first principle, so i coded up logistic regression with back prop from scratch using numpy and calculus. Updating derivative with weighted average (momentum) works for me, but not RMSProp or Adam as the cost…
superbik
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Tensorflow Adam Optimizer state not updating ( get_config )

I am using optimizer.get_config() to get the final state of my adam optimizer (as in https://stackoverflow.com/a/60077159/607528) however .get_config() is returning the initial state. I assume this means one of the following .get_config() is…
brook
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Using Netscape library for performing LDAP search operation and getting limited result upto 10000 when range is provided (0-*)

I am using Netscape library for performing search operation on microsoft ADS/ADAM Ldap server Following is the snippet I am using: LDAPConnection connection=new LDAPConnection(); connection.connect("xx.xx.xx.xx", 389); connection.authenticate(…
Swap
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Error while training logistic regression on FashionMNIST with Adam optimizer

Dataset is FashionMNIST (784 input, 10 output). I'm trying to train logistic regression with Adam optimizer (coded it also): weights = torch.randn(784, 10) / math.sqrt(784) weights.requires_grad_() bias = torch.zeros(10,…
Sunny Duckling
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When is Momentum Applied in Tensorflow Gradient Tape?

I've been playing around with automatic gradients in tensorflow and I had a question. If we are updating an optimizer, say ADAM, when is the momentum algorithm applied to the gradient? Is it applied when we call…
Joe
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